HTC-as-a-Service, KISTI - User contributions [en]

AMGCC21 Program

2021-09-27T06:29:09Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 13:20 PM (EST)

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time (EST)
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:10
| colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers'''

|- align="center"
| colspan="4" align="center"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 10:10 - 10:30
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| Awais Khan

|- align="center"
| 10:30 - 10:50
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 10:50 - 11:10
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:10 - 11:30
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:30 - 11:50
| colspan="3" align="center"| '''Break'''

|- align="center"
| colspan="4" align="center"| '''Session 2: Virtualization and File Systems'''

|- align="center"
| 11:50 - 12:10
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| Jik-Soo Kim

|- align="center"
| 12:10 - 12:30
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 12:30 - 12:50
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 12:50 - 13:10
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 13:10 - 13:20
| colspan="3" align="center"| '''Closing Remarks'''
|}

AMGCC21 Program

2021-09-27T06:28:03Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 13:20 PM (EST)

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time (EST)
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:10
| colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers'''

|- align="center"
| colspan="4" align="center"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 10:10 - 10:30
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| Awais Khan

|- align="center"
| 09:30 - 09:50
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 09:50 - 10:10
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 10:10 - 10:30
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 10:30 - 10:50
| colspan="3" align="center"| '''Break'''

|- align="center"
| colspan="4" align="center"| '''Session 2: Virtualization and File Systems'''

|- align="center"
| 10:50 - 11:10
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| Jik-Soo Kim

|- align="center"
| 11:10 - 11:30
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 11:30 - 11:50
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 11:50 - 12:10
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 12:10 - 12:20
| colspan="3" align="center"| '''Closing Remarks'''
|}

AMGCC21 Program

2021-09-23T10:40:41Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 09:00 AM - 12:20 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time (EST)
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 09:00 - 09:10
| colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers'''

|- align="center"
| colspan="4" align="center"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 09:10 - 09:30
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| Awais Khan

|- align="center"
| 09:30 - 09:50
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 09:50 - 10:10
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 10:10 - 10:30
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 10:30 - 10:50
| colspan="3" align="center"| '''Break'''

|- align="center"
| colspan="4" align="center"| '''Session 2: Virtualization and File Systems'''

|- align="center"
| 10:50 - 11:10
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| Jik-Soo Kim

|- align="center"
| 11:10 - 11:30
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 11:30 - 11:50
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 11:50 - 12:10
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 12:10 - 12:20
| colspan="3" align="center"| '''Closing Remarks'''
|}

File:Amgcc-presenter-video-manual.pdf

2021-09-23T02:44:20Z

Admin: Admin uploaded a new version of "File:Amgcc-presenter-video-manual.pdf"

AMGCC21

2021-09-14T03:01:09Z

Admin: /* The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) */

= The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) =

https://www.americancouncils.org/sites/default/files/styles/1200x500/public/2018-04/Washington%20DC.png

<big>
* '''<del>Washington DC, USA</del> - September 27, 2021'''
* '''in conjunction with [https://conf.researchr.org/home/acsos-2021 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]'''
* '''As a consequence of the unpredictable progress of the pandemic situation, the Organizing Committee decided that the AMGCC'21 workshop will take place virtually on the original date'''
* [[AMGCC21_Program|'''Workshop Program''']]
* [https://conf.researchr.org/info/acsos-2021/registration '''Registration''']
* [[Media:Amgcc-presenter-video-manual.pdf|'''Video Recording Manual for the Presenters''']]

</big>

__TOC__

== News & Events ==

* '''Workshop homepage opens and is running'''
* Paper submission due date is extended into '''July 11, 2021'''

== Overview ==

AMGCC'21 workshop will be held '''in Washington DC, USA on September 27th, 2021''', to be held along with [https://conf.researchr.org/home/acsos-2021 the 2nd International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]

Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as "utility computing" where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.

Managing hybrid, virtualized computing resources in a large-scale cloud computing environment, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large-scale federated hybrid computing infrastructure are crucial. In this workshop, we would like to bring researchers around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.

== Topics of Interests ==

Topics include, but are not limited to:

* Autonomic Resource Management in Cloud and Grid
* Autonomous and Adaptive Management of Virtualized Resources
* Security, Privacy, and Compliance Management for Hybrid Utility Computing
* Performance and Usage Monitoring in Hybrid Infrastructures
* Autonomic Resource Discovery and Scheduling in Cloud and Grid
* Service-based Autonomic Management in Cloud and Grid
* Hybrid Cloud Resource Provisioning Orchestration
* Adaptive Resource Provisioning and Adjustment in Grid and Cloud
* Autonomics in High Performance Cloud Computing
* Cloud/Grid Workload Profiling and Autonomic Deployment Control
* Fault tolerance and Reliability in Hybrid Utility Computing
* Federation, Bridging, and Bursting of Grid and Cloud Resources
* Data management and Analytics in Cloud
* Cyber-infrastructure, System Architectures, Design and Deployment for Grid, Cloud and Big Data
* Big Data Analytics in Cloud

== Important Dates ==

* Paper submission: July 11, 2021
* Notification of acceptance: August 4, 2021
* Camera-ready paper: August 13, 2021
* Workshop: '''September 27, 2021, half day'''

== Paper Submission Guideline ==

Submitted papers must include original work and may not be under consideration for another workshop, conference, or journal. Accepted papers must be presented at the workshop. Papers are limited to '''6 pages''' in standard IEEE proceedings format. The PDF format of the paper must be submitted online at the paper submission site before the deadline.

* IEEE proceedings format: [http://www.ieee.org/conferences_events/conferences/publishing/templates.html http://www.ieee.org/conferences_events/conferences/publishing/templates.html((noopener noreferrer))]
* Paper submission site: [https://easychair.org/conferences/?conf=amgcc2021 https://easychair.org/conferences/?conf=amgcc2021((noopener noreferrer))]

'''Extended Paper Journal Version'''

Selected papers presented at the AMGCC'21 workshop will be invited to a special issue in the Springer Cluster Computing Journal, indexed by the SCIE, JCR, and SCOPUS rank.

== Organization ==

=== Organizing Committee ===

==== Workshop Co-Chairs ====

* Youngjae Kim, Sogang University, Korea
* Sungyong Park, Sogang University, Korea

==== Web Chair ====

* Jik-Soo Kim, Myongji University, Korea

==== Staff Chair ====

* Awais Khan, Sogang University, Korea

=== Technical Program Committee ===

* Beomseok Nam, Sungkyunkwan University, Korea
* Byungchul Tak, Kyungpook National University, Korea
* Hyeonsang Eom, Seoul National University, Korea
* Heonyoung Yeom, Seoul National University, Korea
* Ilkyeun Ra, University of Colorado Denver, USA
* Jaehwan Lee, Korea Aerospace University, Korea
* Jae W. Lee, Seoul National University, Korea
* Jaeyoung Choi, Soongsil University, Korea
* Jens Jensen, Science and Technology Facilities Council, United Kingdom
* Jik-Soo Kim, Myongji University, Korea
* Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain
* Kento Sato, RIKEN R-CCS, Japan
* Kyungyong Lee, Kookmin University, Korea
* Myungho Lee, Myongji University, Korea
* Raffaele Montella, University of Naples Parthenope, Italy
* Sandro Fiore, University of Trento, Italy
* Soonwook Hwang, KISTI, Korea
* Taiga Nakamura, IBM, USA
* Young Choon Lee, Macquarie University, Australia
* Young-Ri Choi, UNIST, Korea
* Yoonhee Kim, Sookmyung Womens university, Korea

=== Contacts ===

For any inquiries about the workshop or paper submission, please contact

Youngjae Kim, Sogang University, Korea, youkim AT sogang dot ac dot kr 
Dept. of Computer Science and Engineering, Sogang University, Seoul, Korea (04107) 
Tel : + 82-2-705-8933

== Sponsors ==

[http://en.kisti.re.kr http://en.kisti.re.kr/((noopener noreferrer))]
[http://nisn.re.kr/eng/ http://nisn.re.kr/eng/((noopener noreferrer))]
[http://www.ogf.org http://www.ogf.org ((noopener noreferrer))]

AMGCC21

2021-09-14T03:00:20Z

Admin: /* The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) */

= The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) =

https://www.americancouncils.org/sites/default/files/styles/1200x500/public/2018-04/Washington%20DC.png

<big>
* '''<del>Washington DC, USA</del> - September 27, 2021'''
* '''in conjunction with [https://conf.researchr.org/home/acsos-2021 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]'''
* '''As a consequence of the unpredictable progress of the pandemic situation, the Organizing Committee decided that the AMGCC'21 workshop will take place virtually on the original date'''
* [[AMGCC21_Program|'''Workshop Program''']]
* [https://conf.researchr.org/info/acsos-2021/registration '''Registration''']
* Video recording manual for the presenters: [[Media:Amgcc-presenter-video-manual.pdf|Manual]]

</big>

__TOC__

== News & Events ==

* '''Workshop homepage opens and is running'''
* Paper submission due date is extended into '''July 11, 2021'''

== Overview ==

AMGCC'21 workshop will be held '''in Washington DC, USA on September 27th, 2021''', to be held along with [https://conf.researchr.org/home/acsos-2021 the 2nd International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]

Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as "utility computing" where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.

Managing hybrid, virtualized computing resources in a large-scale cloud computing environment, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large-scale federated hybrid computing infrastructure are crucial. In this workshop, we would like to bring researchers around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.

== Topics of Interests ==

Topics include, but are not limited to:

* Autonomic Resource Management in Cloud and Grid
* Autonomous and Adaptive Management of Virtualized Resources
* Security, Privacy, and Compliance Management for Hybrid Utility Computing
* Performance and Usage Monitoring in Hybrid Infrastructures
* Autonomic Resource Discovery and Scheduling in Cloud and Grid
* Service-based Autonomic Management in Cloud and Grid
* Hybrid Cloud Resource Provisioning Orchestration
* Adaptive Resource Provisioning and Adjustment in Grid and Cloud
* Autonomics in High Performance Cloud Computing
* Cloud/Grid Workload Profiling and Autonomic Deployment Control
* Fault tolerance and Reliability in Hybrid Utility Computing
* Federation, Bridging, and Bursting of Grid and Cloud Resources
* Data management and Analytics in Cloud
* Cyber-infrastructure, System Architectures, Design and Deployment for Grid, Cloud and Big Data
* Big Data Analytics in Cloud

== Important Dates ==

* Paper submission: July 11, 2021
* Notification of acceptance: August 4, 2021
* Camera-ready paper: August 13, 2021
* Workshop: '''September 27, 2021, half day'''

== Paper Submission Guideline ==

Submitted papers must include original work and may not be under consideration for another workshop, conference, or journal. Accepted papers must be presented at the workshop. Papers are limited to '''6 pages''' in standard IEEE proceedings format. The PDF format of the paper must be submitted online at the paper submission site before the deadline.

* IEEE proceedings format: [http://www.ieee.org/conferences_events/conferences/publishing/templates.html http://www.ieee.org/conferences_events/conferences/publishing/templates.html((noopener noreferrer))]
* Paper submission site: [https://easychair.org/conferences/?conf=amgcc2021 https://easychair.org/conferences/?conf=amgcc2021((noopener noreferrer))]

'''Extended Paper Journal Version'''

Selected papers presented at the AMGCC'21 workshop will be invited to a special issue in the Springer Cluster Computing Journal, indexed by the SCIE, JCR, and SCOPUS rank.

== Organization ==

=== Organizing Committee ===

==== Workshop Co-Chairs ====

* Youngjae Kim, Sogang University, Korea
* Sungyong Park, Sogang University, Korea

==== Web Chair ====

* Jik-Soo Kim, Myongji University, Korea

==== Staff Chair ====

* Awais Khan, Sogang University, Korea

=== Technical Program Committee ===

* Beomseok Nam, Sungkyunkwan University, Korea
* Byungchul Tak, Kyungpook National University, Korea
* Hyeonsang Eom, Seoul National University, Korea
* Heonyoung Yeom, Seoul National University, Korea
* Ilkyeun Ra, University of Colorado Denver, USA
* Jaehwan Lee, Korea Aerospace University, Korea
* Jae W. Lee, Seoul National University, Korea
* Jaeyoung Choi, Soongsil University, Korea
* Jens Jensen, Science and Technology Facilities Council, United Kingdom
* Jik-Soo Kim, Myongji University, Korea
* Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain
* Kento Sato, RIKEN R-CCS, Japan
* Kyungyong Lee, Kookmin University, Korea
* Myungho Lee, Myongji University, Korea
* Raffaele Montella, University of Naples Parthenope, Italy
* Sandro Fiore, University of Trento, Italy
* Soonwook Hwang, KISTI, Korea
* Taiga Nakamura, IBM, USA
* Young Choon Lee, Macquarie University, Australia
* Young-Ri Choi, UNIST, Korea
* Yoonhee Kim, Sookmyung Womens university, Korea

=== Contacts ===

For any inquiries about the workshop or paper submission, please contact

Youngjae Kim, Sogang University, Korea, youkim AT sogang dot ac dot kr 
Dept. of Computer Science and Engineering, Sogang University, Seoul, Korea (04107) 
Tel : + 82-2-705-8933

== Sponsors ==

[http://en.kisti.re.kr http://en.kisti.re.kr/((noopener noreferrer))]
[http://nisn.re.kr/eng/ http://nisn.re.kr/eng/((noopener noreferrer))]
[http://www.ogf.org http://www.ogf.org ((noopener noreferrer))]

AMGCC21

2021-09-14T02:58:17Z

Admin: /* The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) */

= The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) =

https://www.americancouncils.org/sites/default/files/styles/1200x500/public/2018-04/Washington%20DC.png

<big>
* '''<del>Washington DC, USA</del> - September 27, 2021'''
* '''in conjunction with [https://conf.researchr.org/home/acsos-2021 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]'''
* '''As a consequence of the unpredictable progress of the pandemic situation, the Organizing Committee decided that the AMGCC'21 workshop will take place virtually on the original date'''
* [[AMGCC21_Program|'''Workshop Program''']]
* [https://conf.researchr.org/info/acsos-2021/registration '''Registration''']
* Video recording manual for the presenters: [[Media:Amgcc-presenter-video-manual.pdf]]

</big>

__TOC__

== News & Events ==

* '''Workshop homepage opens and is running'''
* Paper submission due date is extended into '''July 11, 2021'''

== Overview ==

AMGCC'21 workshop will be held '''in Washington DC, USA on September 27th, 2021''', to be held along with [https://conf.researchr.org/home/acsos-2021 the 2nd International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]

Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as "utility computing" where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.

Managing hybrid, virtualized computing resources in a large-scale cloud computing environment, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large-scale federated hybrid computing infrastructure are crucial. In this workshop, we would like to bring researchers around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.

== Topics of Interests ==

Topics include, but are not limited to:

* Autonomic Resource Management in Cloud and Grid
* Autonomous and Adaptive Management of Virtualized Resources
* Security, Privacy, and Compliance Management for Hybrid Utility Computing
* Performance and Usage Monitoring in Hybrid Infrastructures
* Autonomic Resource Discovery and Scheduling in Cloud and Grid
* Service-based Autonomic Management in Cloud and Grid
* Hybrid Cloud Resource Provisioning Orchestration
* Adaptive Resource Provisioning and Adjustment in Grid and Cloud
* Autonomics in High Performance Cloud Computing
* Cloud/Grid Workload Profiling and Autonomic Deployment Control
* Fault tolerance and Reliability in Hybrid Utility Computing
* Federation, Bridging, and Bursting of Grid and Cloud Resources
* Data management and Analytics in Cloud
* Cyber-infrastructure, System Architectures, Design and Deployment for Grid, Cloud and Big Data
* Big Data Analytics in Cloud

== Important Dates ==

* Paper submission: July 11, 2021
* Notification of acceptance: August 4, 2021
* Camera-ready paper: August 13, 2021
* Workshop: '''September 27, 2021, half day'''

== Paper Submission Guideline ==

Submitted papers must include original work and may not be under consideration for another workshop, conference, or journal. Accepted papers must be presented at the workshop. Papers are limited to '''6 pages''' in standard IEEE proceedings format. The PDF format of the paper must be submitted online at the paper submission site before the deadline.

* IEEE proceedings format: [http://www.ieee.org/conferences_events/conferences/publishing/templates.html http://www.ieee.org/conferences_events/conferences/publishing/templates.html((noopener noreferrer))]
* Paper submission site: [https://easychair.org/conferences/?conf=amgcc2021 https://easychair.org/conferences/?conf=amgcc2021((noopener noreferrer))]

'''Extended Paper Journal Version'''

Selected papers presented at the AMGCC'21 workshop will be invited to a special issue in the Springer Cluster Computing Journal, indexed by the SCIE, JCR, and SCOPUS rank.

== Organization ==

=== Organizing Committee ===

==== Workshop Co-Chairs ====

* Youngjae Kim, Sogang University, Korea
* Sungyong Park, Sogang University, Korea

==== Web Chair ====

* Jik-Soo Kim, Myongji University, Korea

==== Staff Chair ====

* Awais Khan, Sogang University, Korea

=== Technical Program Committee ===

* Beomseok Nam, Sungkyunkwan University, Korea
* Byungchul Tak, Kyungpook National University, Korea
* Hyeonsang Eom, Seoul National University, Korea
* Heonyoung Yeom, Seoul National University, Korea
* Ilkyeun Ra, University of Colorado Denver, USA
* Jaehwan Lee, Korea Aerospace University, Korea
* Jae W. Lee, Seoul National University, Korea
* Jaeyoung Choi, Soongsil University, Korea
* Jens Jensen, Science and Technology Facilities Council, United Kingdom
* Jik-Soo Kim, Myongji University, Korea
* Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain
* Kento Sato, RIKEN R-CCS, Japan
* Kyungyong Lee, Kookmin University, Korea
* Myungho Lee, Myongji University, Korea
* Raffaele Montella, University of Naples Parthenope, Italy
* Sandro Fiore, University of Trento, Italy
* Soonwook Hwang, KISTI, Korea
* Taiga Nakamura, IBM, USA
* Young Choon Lee, Macquarie University, Australia
* Young-Ri Choi, UNIST, Korea
* Yoonhee Kim, Sookmyung Womens university, Korea

=== Contacts ===

For any inquiries about the workshop or paper submission, please contact

Youngjae Kim, Sogang University, Korea, youkim AT sogang dot ac dot kr 
Dept. of Computer Science and Engineering, Sogang University, Seoul, Korea (04107) 
Tel : + 82-2-705-8933

== Sponsors ==

[http://en.kisti.re.kr http://en.kisti.re.kr/((noopener noreferrer))]
[http://nisn.re.kr/eng/ http://nisn.re.kr/eng/((noopener noreferrer))]
[http://www.ogf.org http://www.ogf.org ((noopener noreferrer))]

AMGCC21

2021-09-14T02:57:06Z

Admin: /* The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) */

= The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) =

https://www.americancouncils.org/sites/default/files/styles/1200x500/public/2018-04/Washington%20DC.png

<big>
* '''<del>Washington DC, USA</del> - September 27, 2021'''
* '''in conjunction with [https://conf.researchr.org/home/acsos-2021 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]'''
* '''As a consequence of the unpredictable progress of the pandemic situation, the Organizing Committee decided that the AMGCC'21 workshop will take place virtually on the original date'''
* [[AMGCC21_Program|'''Workshop Program''']]
* [https://conf.researchr.org/info/acsos-2021/registration '''Registration''']
* Video recording manual for the presenters: [[:File:Amgcc-presenter-video-manual.pdf]]

</big>

__TOC__

== News & Events ==

* '''Workshop homepage opens and is running'''
* Paper submission due date is extended into '''July 11, 2021'''

== Overview ==

AMGCC'21 workshop will be held '''in Washington DC, USA on September 27th, 2021''', to be held along with [https://conf.researchr.org/home/acsos-2021 the 2nd International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]

Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as "utility computing" where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.

Managing hybrid, virtualized computing resources in a large-scale cloud computing environment, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large-scale federated hybrid computing infrastructure are crucial. In this workshop, we would like to bring researchers around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.

== Topics of Interests ==

Topics include, but are not limited to:

* Autonomic Resource Management in Cloud and Grid
* Autonomous and Adaptive Management of Virtualized Resources
* Security, Privacy, and Compliance Management for Hybrid Utility Computing
* Performance and Usage Monitoring in Hybrid Infrastructures
* Autonomic Resource Discovery and Scheduling in Cloud and Grid
* Service-based Autonomic Management in Cloud and Grid
* Hybrid Cloud Resource Provisioning Orchestration
* Adaptive Resource Provisioning and Adjustment in Grid and Cloud
* Autonomics in High Performance Cloud Computing
* Cloud/Grid Workload Profiling and Autonomic Deployment Control
* Fault tolerance and Reliability in Hybrid Utility Computing
* Federation, Bridging, and Bursting of Grid and Cloud Resources
* Data management and Analytics in Cloud
* Cyber-infrastructure, System Architectures, Design and Deployment for Grid, Cloud and Big Data
* Big Data Analytics in Cloud

== Important Dates ==

* Paper submission: July 11, 2021
* Notification of acceptance: August 4, 2021
* Camera-ready paper: August 13, 2021
* Workshop: '''September 27, 2021, half day'''

== Paper Submission Guideline ==

Submitted papers must include original work and may not be under consideration for another workshop, conference, or journal. Accepted papers must be presented at the workshop. Papers are limited to '''6 pages''' in standard IEEE proceedings format. The PDF format of the paper must be submitted online at the paper submission site before the deadline.

* IEEE proceedings format: [http://www.ieee.org/conferences_events/conferences/publishing/templates.html http://www.ieee.org/conferences_events/conferences/publishing/templates.html((noopener noreferrer))]
* Paper submission site: [https://easychair.org/conferences/?conf=amgcc2021 https://easychair.org/conferences/?conf=amgcc2021((noopener noreferrer))]

'''Extended Paper Journal Version'''

Selected papers presented at the AMGCC'21 workshop will be invited to a special issue in the Springer Cluster Computing Journal, indexed by the SCIE, JCR, and SCOPUS rank.

== Organization ==

=== Organizing Committee ===

==== Workshop Co-Chairs ====

* Youngjae Kim, Sogang University, Korea
* Sungyong Park, Sogang University, Korea

==== Web Chair ====

* Jik-Soo Kim, Myongji University, Korea

==== Staff Chair ====

* Awais Khan, Sogang University, Korea

=== Technical Program Committee ===

* Beomseok Nam, Sungkyunkwan University, Korea
* Byungchul Tak, Kyungpook National University, Korea
* Hyeonsang Eom, Seoul National University, Korea
* Heonyoung Yeom, Seoul National University, Korea
* Ilkyeun Ra, University of Colorado Denver, USA
* Jaehwan Lee, Korea Aerospace University, Korea
* Jae W. Lee, Seoul National University, Korea
* Jaeyoung Choi, Soongsil University, Korea
* Jens Jensen, Science and Technology Facilities Council, United Kingdom
* Jik-Soo Kim, Myongji University, Korea
* Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain
* Kento Sato, RIKEN R-CCS, Japan
* Kyungyong Lee, Kookmin University, Korea
* Myungho Lee, Myongji University, Korea
* Raffaele Montella, University of Naples Parthenope, Italy
* Sandro Fiore, University of Trento, Italy
* Soonwook Hwang, KISTI, Korea
* Taiga Nakamura, IBM, USA
* Young Choon Lee, Macquarie University, Australia
* Young-Ri Choi, UNIST, Korea
* Yoonhee Kim, Sookmyung Womens university, Korea

=== Contacts ===

For any inquiries about the workshop or paper submission, please contact

Youngjae Kim, Sogang University, Korea, youkim AT sogang dot ac dot kr 
Dept. of Computer Science and Engineering, Sogang University, Seoul, Korea (04107) 
Tel : + 82-2-705-8933

== Sponsors ==

[http://en.kisti.re.kr http://en.kisti.re.kr/((noopener noreferrer))]
[http://nisn.re.kr/eng/ http://nisn.re.kr/eng/((noopener noreferrer))]
[http://www.ogf.org http://www.ogf.org ((noopener noreferrer))]

File:Amgcc-presenter-video-manual.pdf

2021-09-14T02:47:59Z

Admin:

AMGCC21 Program

2021-09-01T06:08:28Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 09:00 AM - 12:20 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time (EST)
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 09:00 - 09:10
| colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers'''

|- align="center"
| colspan="4" align="center"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 09:10 - 09:30
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 09:30 - 09:50
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 09:50 - 10:10
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 10:10 - 10:30
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 10:30 - 10:50
| colspan="3" align="center"| '''Break'''

|- align="center"
| colspan="4" align="center"| '''Session 2: Virtualization and File Systems'''

|- align="center"
| 10:50 - 11:10
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| TBD

|- align="center"
| 11:10 - 11:30
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 11:30 - 11:50
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 11:50 - 12:10
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 12:10 - 12:20
| colspan="3" align="center"| '''Closing Remarks'''
|}

AMGCC21 Program

2021-09-01T06:06:47Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 09:00 AM - 12:20 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time (EST)
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 09:00 - 09:10
| colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers'''

|- align="center"
| colspan="4" align="center"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 09:10 - 09:30
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 09:30 - 09:50
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 09:50 - 10:10
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 10:10 - 10:30
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 10:30 - 10:50
| colspan="3" align="center"| '''Break'''

|- align="center"
| colspan="4" align="center"| '''Session 2: Virtualization and File Systems'''

|- align="center"
| 12:10 - 12:30
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| TBD

|- align="center"
| 12:30 - 12:50
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 12:50 - 13:10
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:10 - 13:30
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 13:30 - 13:40
| colspan="3" align="center"| '''Closing Remarks'''
|}

AMGCC21 Program

2021-09-01T06:05:16Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 09:00 AM - 12:20 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time (EST)
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 09:00 - 09:10
| colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers'''

|- align="center"
| colspan="4" align="center"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 10:40 - 11:00
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 11:00 - 11:20
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:20 - 11:40
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:40 - 12:10
| colspan="3" align="center"| '''Break'''

|- align="center"
| colspan="4" align="center"| '''Session 2: Virtualization and File Systems'''

|- align="center"
| 12:10 - 12:30
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| TBD

|- align="center"
| 12:30 - 12:50
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 12:50 - 13:10
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:10 - 13:30
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 13:30 - 13:40
| colspan="3" align="center"| '''Closing Remarks'''
|}

AMGCC21 Program

2021-08-17T06:25:04Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time (EST)
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:15
| colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers'''

|- align="center"
| colspan="4" align="center"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 10:40 - 11:00
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 11:00 - 11:20
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:20 - 11:40
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:40 - 12:10
| colspan="3" align="center"| '''Break'''

|- align="center"
| colspan="4" align="center"| '''Session 2: Virtualization and File Systems'''

|- align="center"
| 12:10 - 12:30
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| TBD

|- align="center"
| 12:30 - 12:50
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 12:50 - 13:10
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:10 - 13:30
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 13:30 - 13:40
| colspan="3" align="center"| '''Closing Remarks'''
|}

AMGCC21 Program

2021-08-17T06:16:02Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:15
| colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers'''

|- align="center"
| colspan="4" align="center"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 10:40 - 11:00
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 11:00 - 11:20
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:20 - 11:40
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:40 - 12:10
| colspan="3" align="center"| '''Break'''

|- align="center"
| colspan="4" align="center"| '''Session 2: Virtualization and File Systems'''

|- align="center"
| 12:10 - 12:30
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| TBD

|- align="center"
| 12:30 - 12:50
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 12:50 - 13:10
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:10 - 13:30
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 13:30 - 13:40
| colspan="3" align="center"| '''Closing Remarks'''
|}

AMGCC21 Program

2021-08-17T06:15:38Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:15
| colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers'''

| colspan="4" align="center"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 10:40 - 11:00
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 11:00 - 11:20
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:20 - 11:40
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:40 - 12:10
| colspan="3" align="center"| '''Break'''

|- align="center"
| colspan="4" align="center"| '''Session 2: Virtualization and File Systems'''

|- align="center"
| 12:10 - 12:30
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| TBD

|- align="center"
| 12:30 - 12:50
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 12:50 - 13:10
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:10 - 13:30
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 13:30 - 13:40
| colspan="3" align="center"| '''Closing Remarks'''
|}

AMGCC21 Program

2021-08-17T06:15:04Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:15
| colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers'''

|- align="center"
| colspan="4" align="left"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 10:40 - 11:00
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 11:00 - 11:20
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:20 - 11:40
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:40 - 12:10
| colspan="3" align="center"| '''Break'''

|- align="center"
| colspan="4" align="center"| '''Session 2: Virtualization and File Systems'''

|- align="center"
| 12:10 - 12:30
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| TBD

|- align="center"
| 12:30 - 12:50
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 12:50 - 13:10
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:10 - 13:30
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 13:30 - 13:40
| colspan="3" align="center"| '''Closing Remarks'''
|}

AMGCC21 Program

2021-08-17T06:14:25Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:15
| colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers'''

|- align="left"
| colspan="4" align="center"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 10:40 - 11:00
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 11:00 - 11:20
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:20 - 11:40
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:40 - 12:10
| colspan="3" align="center"| '''Break'''

|- align="center"
| colspan="4" align="center"| '''Session 2: Virtualization and File Systems'''

|- align="center"
| 12:10 - 12:30
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| TBD

|- align="center"
| 12:30 - 12:50
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 12:50 - 13:10
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:10 - 13:30
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 13:30 - 13:40
| colspan="3" align="center"| '''Closing Remarks'''
|}

AMGCC21 Program

2021-08-17T06:13:37Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:15
| colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers'''

|- align="center"
| colspan="4" align="center"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 10:40 - 11:00
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 11:00 - 11:20
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:20 - 11:40
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:40 - 12:10
| colspan="3" align="center"| '''Break'''

|- align="center"
| colspan="4" align="center"| '''Session 2: Virtualization and File Systems'''

|- align="center"
| 12:10 - 12:30
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| TBD

|- align="center"
| 12:30 - 12:50
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 12:50 - 13:10
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:10 - 13:30
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 13:30 - 13:40
| colspan="3" align="center"| '''Closing Remarks'''
|}

AMGCC21 Program

2021-08-17T06:13:09Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:15
| colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers'''

|- align="center"
| colspan="4" align="center"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 10:40 - 11:00
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 11:00 - 11:20
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:20 - 11:40
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:40 - 12:10
| colspan="3" align="center"| Break

|- align="center"
| colspan="4" align="center"| '''Session 2: Virtualization and File Systems'''

|- align="center"
| 12:10 - 12:30
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| TBD

|- align="center"
| 12:30 - 12:50
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 12:50 - 13:10
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:10 - 13:30
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 13:30 - 13:40
| colspan="3" align="center"| Closing Remarks
|}

AMGCC21 Program

2021-08-17T06:12:23Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:15
| colspan="3" align="center"| Welcome Remarks by AMGCC workshop organizers

|- align="center"
| colspan="4" align="center"| '''Session 1: Big Data in Cloud'''

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 10:40 - 11:00
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 11:00 - 11:20
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:20 - 11:40
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:40 - 12:10
| colspan="3" align="center"| Break

|- align="center"
| 12:10 - 12:30
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| TBD

|- align="center"
| 12:30 - 12:50
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 12:50 - 13:10
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:10 - 13:30
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 13:30 - 13:40
| colspan="3" align="center"| Closing Remarks
|}

AMGCC21 Program

2021-08-17T06:12:03Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:15
| colspan="3" align="center"| Welcome Remarks by AMGCC workshop organizers

|- align="center"
| colspan="4" align="center"| Session 1: Big Data in Cloud

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 10:40 - 11:00
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 11:00 - 11:20
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:20 - 11:40
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:40 - 12:10
| colspan="3" align="center"| Break

|- align="center"
| 12:10 - 12:30
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| TBD

|- align="center"
| 12:30 - 12:50
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 12:50 - 13:10
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:10 - 13:30
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 13:30 - 13:40
| colspan="3" align="center"| Closing Remarks
|}

AMGCC21 Program

2021-08-17T06:10:04Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:15
| colspan="3" align="center"| Welcome Remarks by AMGCC workshop organizers

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 10:40 - 11:00
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 11:00 - 11:20
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:20 - 11:40
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:40 - 12:10
| colspan="3" align="center"| Break

|- align="center"
| 12:10 - 12:30
| An Efficient VM Scheduling Framework for Interactive Streaming Service
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom

| rowspan="4"| TBD

|- align="center"
| 12:30 - 12:50
| Is Data Migration Evil in the NVM File System?
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim

|- align="center"
| 12:50 - 13:10
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:10 - 13:30
| Implementing CUDA Unified Memory in the PyTorch Framework
| Jake Choi, Heon Young Yeom and Yoonhee Kim

|- align="center"
| 13:30 - 13:40
| colspan="3" align="center"| Closing Remarks
|}

AMGCC21 Program

2021-08-17T06:08:35Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:15
| colspan="3" align="center"| Welcome Remarks by AMGCC workshop organizers

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 10:40 - 11:00
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 11:00 - 11:20
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:20 - 11:40
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:40 - 12:10
| colspan="3" align="center"| Break

|- align="center"
| 12:10 - 12:30
|
|

| rowspan="4"| TBD

|- align="center"
| 12:30 - 12:50
|
|

|- align="center"
| 12:50 - 13:10
|
|

|- align="center"
| 13:10 - 13:30
|
|

|- align="center"
| 13:30 - 13:40
| colspan="3" align="center"| Closing Remarks
|}

AMGCC21 Program

2021-08-17T06:06:18Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:15
| colspan="3" align="center"| Welcome Remarks by AMGCC workshop organizers

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| TBD

|- align="center"
| 10:40 - 11:00
| MeLoN: Distributed Deep Learning meets the Big Data Platform
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim

|- align="center"
| 11:00 - 11:20
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
| Abeer Abdel Khaleq and Ilkyeun Ra

|- align="center"
| 11:20 - 11:40
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park

|- align="center"
| 11:40 - 12:10
| colspan="3" align="center"| Break

|- align="center"
| 12:00 - 12:20
| Improving performance of Parallel Matrix Multiplication Routine on Intel KNL and Xeon Scalable Processors
| Thi My Tuyen Nguyen, Yoosang Park, Raehyun Kim and Jaeyoung Choi

| rowspan="5"| Kyongyong Lee

|- align="center"
| 12:20 - 12:40
| An Efficient and Parallel Bad Block Checker for Parallelism of Storage Devices
| Jaehyun Han, Guangyu Zhu, Eunseo Lee and Yongseok Son

|- align="center"
| 12:40 - 13:00
| Empirical Analysis of the I/O Characteristics of a Highly Integrated Many-Core Processor
| Cheongjun Lee, Jaehwan Lee, Donghun Koo, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:00 - 13:20
| SW Runtime Estimation using Automata Theory and Deep Learning on HPC
| Hyunjoon Cheon, Jinseung Ryu, Chan Yeol Park and Yo-Sub Han

|- align="center"
| 13:20 - 13:40
| An Energy-Efficient Service Scheduling Algorithm in Federated Edge Cloud
| Yeonwoo Jeong, Esrat Maria and Sungyong Park

|- align="center"
| 13:40 - 13:50
| colspan="3" align="center"| Closing Remarks
|}

AMGCC21 Program

2021-08-17T06:03:34Z

Admin: /* Workshop Program | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
* '''Is Data Migration Evil in the File System?''' Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
* '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud''' Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
* '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD''' Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
* '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark''' Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
* '''MeLoN: Distributed Deep Learning meets the Big Data Platform''' Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
* '''Implementing CUDA Unified Memory in the PyTorch Framework''' Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* '''Date''': September 27 (Monday), 2021
* '''Time''': 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

{| class="wikitable"
|-
! Time
! Title
! Authors
! Session Chair

|- align="center"
| width="10%"| 10:00 - 10:15
| colspan="3" align="center"| Welcome Remarks by AMGCC workshop organizers

|- align="center"
| 10:20 - 10:40
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim

| rowspan="4"| Yongseok Son

|- align="center"
| 10:30 - 10:50
| An adaptive page replacement scheme for scientific applications
| Yunjae Lee, Heon Y. Yeom and Hyuck Han

|- align="center"
| 10:50 - 11:10
| Hyperparameter Optimization for Deep Residual Learning in Image Classification
| Abbas Jafar and Lee Myungho

|- align="center"
| 11:10 - 11:30
| Toward Interference-aware GPU Container Co-scheduling Learning from Application Profiles
| Sejin Kim and Yoonhee Kim

|- align="center"
| 11:30 - 12:00
| colspan="3" align="center"| Break

|- align="center"
| 12:00 - 12:20
| Improving performance of Parallel Matrix Multiplication Routine on Intel KNL and Xeon Scalable Processors
| Thi My Tuyen Nguyen, Yoosang Park, Raehyun Kim and Jaeyoung Choi

| rowspan="5"| Kyongyong Lee

|- align="center"
| 12:20 - 12:40
| An Efficient and Parallel Bad Block Checker for Parallelism of Storage Devices
| Jaehyun Han, Guangyu Zhu, Eunseo Lee and Yongseok Son

|- align="center"
| 12:40 - 13:00
| Empirical Analysis of the I/O Characteristics of a Highly Integrated Many-Core Processor
| Cheongjun Lee, Jaehwan Lee, Donghun Koo, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom

|- align="center"
| 13:00 - 13:20
| SW Runtime Estimation using Automata Theory and Deep Learning on HPC
| Hyunjoon Cheon, Jinseung Ryu, Chan Yeol Park and Yo-Sub Han

|- align="center"
| 13:20 - 13:40
| An Energy-Efficient Service Scheduling Algorithm in Federated Edge Cloud
| Yeonwoo Jeong, Esrat Maria and Sungyong Park

|- align="center"
| 13:40 - 13:50
| colspan="3" align="center"| Closing Remarks
|}

AMGCC21 Program

2021-08-17T06:00:31Z

Admin: /* Workshop Program | Workshop Main Page */

AMGCC21

2021-08-11T01:19:56Z

Admin: /* The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) */

= The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) =

https://www.americancouncils.org/sites/default/files/styles/1200x500/public/2018-04/Washington%20DC.png

<big>
* '''<del>Washington DC, USA</del> - September 27, 2021'''
* '''in conjunction with [https://conf.researchr.org/home/acsos-2021 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]'''
* '''As a consequence of the unpredictable progress of the pandemic situation, the Organizing Committee decided that the AMGCC'21 workshop will take place virtually on the original date'''
* [[AMGCC21_Program|'''Workshop Program''']]
* [https://conf.researchr.org/info/acsos-2021/registration '''Registration''']
</big>

__TOC__

== News & Events ==

* '''Workshop homepage opens and is running'''
* Paper submission due date is extended into '''July 11, 2021'''

== Overview ==

AMGCC'21 workshop will be held '''in Washington DC, USA on September 27th, 2021''', to be held along with [https://conf.researchr.org/home/acsos-2021 the 2nd International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]

Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as "utility computing" where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.

Managing hybrid, virtualized computing resources in a large-scale cloud computing environment, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large-scale federated hybrid computing infrastructure are crucial. In this workshop, we would like to bring researchers around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.

== Topics of Interests ==

Topics include, but are not limited to:

* Autonomic Resource Management in Cloud and Grid
* Autonomous and Adaptive Management of Virtualized Resources
* Security, Privacy, and Compliance Management for Hybrid Utility Computing
* Performance and Usage Monitoring in Hybrid Infrastructures
* Autonomic Resource Discovery and Scheduling in Cloud and Grid
* Service-based Autonomic Management in Cloud and Grid
* Hybrid Cloud Resource Provisioning Orchestration
* Adaptive Resource Provisioning and Adjustment in Grid and Cloud
* Autonomics in High Performance Cloud Computing
* Cloud/Grid Workload Profiling and Autonomic Deployment Control
* Fault tolerance and Reliability in Hybrid Utility Computing
* Federation, Bridging, and Bursting of Grid and Cloud Resources
* Data management and Analytics in Cloud
* Cyber-infrastructure, System Architectures, Design and Deployment for Grid, Cloud and Big Data
* Big Data Analytics in Cloud

== Important Dates ==

* Paper submission: July 11, 2021
* Notification of acceptance: August 4, 2021
* Camera-ready paper: August 13, 2021
* Workshop: '''September 27, 2021, half day'''

== Paper Submission Guideline ==

Submitted papers must include original work and may not be under consideration for another workshop, conference, or journal. Accepted papers must be presented at the workshop. Papers are limited to '''6 pages''' in standard IEEE proceedings format. The PDF format of the paper must be submitted online at the paper submission site before the deadline.

* IEEE proceedings format: [http://www.ieee.org/conferences_events/conferences/publishing/templates.html http://www.ieee.org/conferences_events/conferences/publishing/templates.html((noopener noreferrer))]
* Paper submission site: [https://easychair.org/conferences/?conf=amgcc2021 https://easychair.org/conferences/?conf=amgcc2021((noopener noreferrer))]

'''Extended Paper Journal Version'''

Selected papers presented at the AMGCC'21 workshop will be invited to a special issue in the Springer Cluster Computing Journal, indexed by the SCIE, JCR, and SCOPUS rank.

== Organization ==

=== Organizing Committee ===

==== Workshop Co-Chairs ====

* Youngjae Kim, Sogang University, Korea
* Sungyong Park, Sogang University, Korea

==== Web Chair ====

* Jik-Soo Kim, Myongji University, Korea

==== Staff Chair ====

* Awais Khan, Sogang University, Korea

=== Technical Program Committee ===

* Beomseok Nam, Sungkyunkwan University, Korea
* Byungchul Tak, Kyungpook National University, Korea
* Hyeonsang Eom, Seoul National University, Korea
* Heonyoung Yeom, Seoul National University, Korea
* Ilkyeun Ra, University of Colorado Denver, USA
* Jaehwan Lee, Korea Aerospace University, Korea
* Jae W. Lee, Seoul National University, Korea
* Jaeyoung Choi, Soongsil University, Korea
* Jens Jensen, Science and Technology Facilities Council, United Kingdom
* Jik-Soo Kim, Myongji University, Korea
* Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain
* Kento Sato, RIKEN R-CCS, Japan
* Kyungyong Lee, Kookmin University, Korea
* Myungho Lee, Myongji University, Korea
* Raffaele Montella, University of Naples Parthenope, Italy
* Sandro Fiore, University of Trento, Italy
* Soonwook Hwang, KISTI, Korea
* Taiga Nakamura, IBM, USA
* Young Choon Lee, Macquarie University, Australia
* Young-Ri Choi, UNIST, Korea
* Yoonhee Kim, Sookmyung Womens university, Korea

=== Contacts ===

For any inquiries about the workshop or paper submission, please contact

Youngjae Kim, Sogang University, Korea, youkim AT sogang dot ac dot kr 
Dept. of Computer Science and Engineering, Sogang University, Seoul, Korea (04107) 
Tel : + 82-2-705-8933

== Sponsors ==

[http://en.kisti.re.kr http://en.kisti.re.kr/((noopener noreferrer))]
[http://nisn.re.kr/eng/ http://nisn.re.kr/eng/((noopener noreferrer))]
[http://www.ogf.org http://www.ogf.org ((noopener noreferrer))]

AMGCC21

2021-08-11T01:19:23Z

Admin: /* The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) */

= The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) =

https://www.americancouncils.org/sites/default/files/styles/1200x500/public/2018-04/Washington%20DC.png

<big>
* '''<del>Washington DC, USA</del> - September 27, 2021'''
* '''in conjunction with [https://conf.researchr.org/home/acsos-2021 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]'''
* '''As a consequence of the unpredictable progress of the pandemic situation, the Organizing Committee decided that the AMGCC'21 workshop will take place virtually on the original date'''
* [[AMGCC21_Program|'''Workshop Program''']]
* [https://conf.researchr.org/info/acsos-2021/registration Registration]
</big>

__TOC__

== News & Events ==

* '''Workshop homepage opens and is running'''
* Paper submission due date is extended into '''July 11, 2021'''

== Overview ==

AMGCC'21 workshop will be held '''in Washington DC, USA on September 27th, 2021''', to be held along with [https://conf.researchr.org/home/acsos-2021 the 2nd International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]

Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as "utility computing" where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.

Managing hybrid, virtualized computing resources in a large-scale cloud computing environment, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large-scale federated hybrid computing infrastructure are crucial. In this workshop, we would like to bring researchers around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.

== Topics of Interests ==

Topics include, but are not limited to:

* Autonomic Resource Management in Cloud and Grid
* Autonomous and Adaptive Management of Virtualized Resources
* Security, Privacy, and Compliance Management for Hybrid Utility Computing
* Performance and Usage Monitoring in Hybrid Infrastructures
* Autonomic Resource Discovery and Scheduling in Cloud and Grid
* Service-based Autonomic Management in Cloud and Grid
* Hybrid Cloud Resource Provisioning Orchestration
* Adaptive Resource Provisioning and Adjustment in Grid and Cloud
* Autonomics in High Performance Cloud Computing
* Cloud/Grid Workload Profiling and Autonomic Deployment Control
* Fault tolerance and Reliability in Hybrid Utility Computing
* Federation, Bridging, and Bursting of Grid and Cloud Resources
* Data management and Analytics in Cloud
* Cyber-infrastructure, System Architectures, Design and Deployment for Grid, Cloud and Big Data
* Big Data Analytics in Cloud

== Important Dates ==

* Paper submission: July 11, 2021
* Notification of acceptance: August 4, 2021
* Camera-ready paper: August 13, 2021
* Workshop: '''September 27, 2021, half day'''

== Paper Submission Guideline ==

Submitted papers must include original work and may not be under consideration for another workshop, conference, or journal. Accepted papers must be presented at the workshop. Papers are limited to '''6 pages''' in standard IEEE proceedings format. The PDF format of the paper must be submitted online at the paper submission site before the deadline.

* IEEE proceedings format: [http://www.ieee.org/conferences_events/conferences/publishing/templates.html http://www.ieee.org/conferences_events/conferences/publishing/templates.html((noopener noreferrer))]
* Paper submission site: [https://easychair.org/conferences/?conf=amgcc2021 https://easychair.org/conferences/?conf=amgcc2021((noopener noreferrer))]

'''Extended Paper Journal Version'''

Selected papers presented at the AMGCC'21 workshop will be invited to a special issue in the Springer Cluster Computing Journal, indexed by the SCIE, JCR, and SCOPUS rank.

== Organization ==

=== Organizing Committee ===

==== Workshop Co-Chairs ====

* Youngjae Kim, Sogang University, Korea
* Sungyong Park, Sogang University, Korea

==== Web Chair ====

* Jik-Soo Kim, Myongji University, Korea

==== Staff Chair ====

* Awais Khan, Sogang University, Korea

=== Technical Program Committee ===

* Beomseok Nam, Sungkyunkwan University, Korea
* Byungchul Tak, Kyungpook National University, Korea
* Hyeonsang Eom, Seoul National University, Korea
* Heonyoung Yeom, Seoul National University, Korea
* Ilkyeun Ra, University of Colorado Denver, USA
* Jaehwan Lee, Korea Aerospace University, Korea
* Jae W. Lee, Seoul National University, Korea
* Jaeyoung Choi, Soongsil University, Korea
* Jens Jensen, Science and Technology Facilities Council, United Kingdom
* Jik-Soo Kim, Myongji University, Korea
* Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain
* Kento Sato, RIKEN R-CCS, Japan
* Kyungyong Lee, Kookmin University, Korea
* Myungho Lee, Myongji University, Korea
* Raffaele Montella, University of Naples Parthenope, Italy
* Sandro Fiore, University of Trento, Italy
* Soonwook Hwang, KISTI, Korea
* Taiga Nakamura, IBM, USA
* Young Choon Lee, Macquarie University, Australia
* Young-Ri Choi, UNIST, Korea
* Yoonhee Kim, Sookmyung Womens university, Korea

=== Contacts ===

For any inquiries about the workshop or paper submission, please contact

Youngjae Kim, Sogang University, Korea, youkim AT sogang dot ac dot kr 
Dept. of Computer Science and Engineering, Sogang University, Seoul, Korea (04107) 
Tel : + 82-2-705-8933

== Sponsors ==

[http://en.kisti.re.kr http://en.kisti.re.kr/((noopener noreferrer))]
[http://nisn.re.kr/eng/ http://nisn.re.kr/eng/((noopener noreferrer))]
[http://www.ogf.org http://www.ogf.org ((noopener noreferrer))]

AMGCC21 Program

2021-08-04T11:51:07Z

Admin: /* Accepted Papers | Workshop Main Page */

AMGCC21 Program

2021-08-04T11:50:11Z

Admin: /* Accepted Papers | Workshop Main Page */

AMGCC21 Program

2021-08-04T11:49:39Z

Admin: /* Accepted Papers | Workshop Main Page */

AMGCC21 Program

2021-08-04T11:48:58Z

Admin: /* Accepted Papers | Workshop Main Page */

AMGCC21 Program

2021-08-04T11:48:03Z

Admin: /* Accepted Papers | Workshop Main Page */

AMGCC21 Program

2021-08-04T11:47:45Z

Admin: /* Accepted Papers | Workshop Main Page */

AMGCC21 Program

2021-08-04T11:44:47Z

Admin: /* Accepted Papers | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment'''
Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
* Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University), '''An Efficient VM Scheduling Framework for Interactive Streaming Service'''
* Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy), '''Is Data Migration Evil in the File System?'''
* Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver), '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud'''
* Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University), '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD'''
* Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy), '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark'''
* Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University), '''MeLoN: Distributed Deep Learning meets the Big Data Platform'''
* Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University), '''Implementing CUDA Unified Memory in the PyTorch Framework'''

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* TBD

AMGCC21 Program

2021-08-04T09:52:46Z

Admin: /* Accepted Papers | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy), '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment'''
* Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University), '''An Efficient VM Scheduling Framework for Interactive Streaming Service'''
* Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy), '''Is Data Migration Evil in the File System?'''
* Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver), '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud'''
* Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University), '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD'''
* Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy), '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark'''
* Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University), '''MeLoN: Distributed Deep Learning meets the Big Data Platform'''
* Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University), '''Implementing CUDA Unified Memory in the PyTorch Framework'''

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* TBD

AMGCC21 Program

2021-08-04T09:51:28Z

Admin: /* Accepted Papers | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy), '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment'''
* Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University), '''An Efficient VM Scheduling Framework for Interactive Streaming Service'''
* Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy), '''Is Data Migration Evil in the File System?'''
* Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver), '''Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud'''
* Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information ) and Hyeonsang Eom (Seoul National University), '''Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD'''
* Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy), '''Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark'''
* Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University), '''MeLoN: Distributed Deep Learning meets the Big Data Platform'''
* Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University), '''Implementing CUDA Unified Memory in the PyTorch Framework'''

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* TBD

AMGCC21 Program

2021-08-04T09:50:19Z

Admin: /* Accepted Papers | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy), '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment'''
* Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University), "An Efficient VM Scheduling Framework for Interactive Streaming Service"
* Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy), "Is Data Migration Evil in the File System?"
* Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver), "Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud"
* Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information ) and Hyeonsang Eom (Seoul National University), "Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD"
* Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy), "Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark"
* Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University), "MeLoN: Distributed Deep Learning meets the Big Data Platform"
* Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University), "Implementing CUDA Unified Memory in the PyTorch Framework"

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* TBD

AMGCC21 Program

2021-08-04T09:49:50Z

Admin: /* Accepted Papers | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy), "Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment"
* Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University), "An Efficient VM Scheduling Framework for Interactive Streaming Service"
* Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy), "Is Data Migration Evil in the File System?"
* Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver), "Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud"
* Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information ) and Hyeonsang Eom (Seoul National University), "Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD"
* Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy), "Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark"
* Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University), "MeLoN: Distributed Deep Learning meets the Big Data Platform"
* Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University), "Implementing CUDA Unified Memory in the PyTorch Framework"

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* TBD

AMGCC21 Program

2021-08-04T09:48:50Z

Admin: /* Accepted Papers | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy), "Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment"
* Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University), "An Efficient VM Scheduling Framework for Interactive Streaming Service"
* Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy), "Is Data Migration Evil in the File System?"
* Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver), "Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud"
* "Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information ) and Hyeonsang Eom (Seoul National University)", "Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD"
* Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park, "Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark"
* Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim, "MeLoN: Distributed Deep Learning meets the Big Data Platform"
* Jake Choi, Heon Young Yeom and Yoonhee Kim, "Implementing CUDA Unified Memory in the PyTorch Framework"

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* TBD

AMGCC21 Program

2021-08-04T09:47:57Z

Admin: /* Accepted Papers | Workshop Main Page */

AMGCC21 Program

2021-08-04T01:51:07Z

Admin: /* Accepted Papers | Workshop Main Page */

__TOC__

== Accepted Papers | [[AMGCC21|Workshop Main Page]]==

* Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim, "Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment"
* Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom, "An Efficient VM Scheduling Framework for Interactive Streaming Service"
* Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim, "Is Data Migration Evil in the File System?"
* Abeer Abdel Khaleq and Ilkyeun Ra, "Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud"
* Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom, "Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD"
* Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park, "Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark"
* Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim, "MeLoN: Distributed Deep Learning meets the Big Data Platform"
* Jake Choi, Heon Young Yeom and Yoonhee Kim, "Implementing CUDA Unified Memory in the PyTorch Framework"

== Workshop Program | [[AMGCC21|Workshop Main Page]]==

* TBD

AMGCC21 Program

2021-08-04T01:48:14Z

Admin: /* Accepted Papers | Workshop Main Page */

AMGCC21 Program

2021-08-04T01:46:47Z

Admin: Created page with "__TOC__ == Accepted Papers | Workshop Main Page== * Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim, " Towards Scalable Manycore-aware Persistent B..."

AMGCC21

2021-08-04T01:44:45Z

Admin: /* The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) */

= The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) =

https://www.americancouncils.org/sites/default/files/styles/1200x500/public/2018-04/Washington%20DC.png

<big>
* '''<del>Washington DC, USA</del> - September 27, 2021'''
* '''in conjunction with [https://conf.researchr.org/home/acsos-2021 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]'''
* '''As a consequence of the unpredictable progress of the pandemic situation, the Organizing Committee decided that the AMGCC'21 workshop will take place virtually on the original date'''
* [[AMGCC21_Program|'''Workshop Program''']]
</big>

__TOC__

== News & Events ==

* '''Workshop homepage opens and is running'''
* Paper submission due date is extended into '''July 11, 2021'''

== Overview ==

AMGCC'21 workshop will be held '''in Washington DC, USA on September 27th, 2021''', to be held along with [https://conf.researchr.org/home/acsos-2021 the 2nd International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]

Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as "utility computing" where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.

Managing hybrid, virtualized computing resources in a large-scale cloud computing environment, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large-scale federated hybrid computing infrastructure are crucial. In this workshop, we would like to bring researchers around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.

== Topics of Interests ==

Topics include, but are not limited to:

* Autonomic Resource Management in Cloud and Grid
* Autonomous and Adaptive Management of Virtualized Resources
* Security, Privacy, and Compliance Management for Hybrid Utility Computing
* Performance and Usage Monitoring in Hybrid Infrastructures
* Autonomic Resource Discovery and Scheduling in Cloud and Grid
* Service-based Autonomic Management in Cloud and Grid
* Hybrid Cloud Resource Provisioning Orchestration
* Adaptive Resource Provisioning and Adjustment in Grid and Cloud
* Autonomics in High Performance Cloud Computing
* Cloud/Grid Workload Profiling and Autonomic Deployment Control
* Fault tolerance and Reliability in Hybrid Utility Computing
* Federation, Bridging, and Bursting of Grid and Cloud Resources
* Data management and Analytics in Cloud
* Cyber-infrastructure, System Architectures, Design and Deployment for Grid, Cloud and Big Data
* Big Data Analytics in Cloud

== Important Dates ==

* Paper submission: July 11, 2021
* Notification of acceptance: August 4, 2021
* Camera-ready paper: August 13, 2021
* Workshop: '''September 27, 2021, half day'''

== Paper Submission Guideline ==

Submitted papers must include original work and may not be under consideration for another workshop, conference, or journal. Accepted papers must be presented at the workshop. Papers are limited to '''6 pages''' in standard IEEE proceedings format. The PDF format of the paper must be submitted online at the paper submission site before the deadline.

* IEEE proceedings format: [http://www.ieee.org/conferences_events/conferences/publishing/templates.html http://www.ieee.org/conferences_events/conferences/publishing/templates.html((noopener noreferrer))]
* Paper submission site: [https://easychair.org/conferences/?conf=amgcc2021 https://easychair.org/conferences/?conf=amgcc2021((noopener noreferrer))]

'''Extended Paper Journal Version'''

Selected papers presented at the AMGCC'21 workshop will be invited to a special issue in the Springer Cluster Computing Journal, indexed by the SCIE, JCR, and SCOPUS rank.

== Organization ==

=== Organizing Committee ===

==== Workshop Co-Chairs ====

* Youngjae Kim, Sogang University, Korea
* Sungyong Park, Sogang University, Korea

==== Web Chair ====

* Jik-Soo Kim, Myongji University, Korea

==== Staff Chair ====

* Awais Khan, Sogang University, Korea

=== Technical Program Committee ===

* Beomseok Nam, Sungkyunkwan University, Korea
* Byungchul Tak, Kyungpook National University, Korea
* Hyeonsang Eom, Seoul National University, Korea
* Heonyoung Yeom, Seoul National University, Korea
* Ilkyeun Ra, University of Colorado Denver, USA
* Jaehwan Lee, Korea Aerospace University, Korea
* Jae W. Lee, Seoul National University, Korea
* Jaeyoung Choi, Soongsil University, Korea
* Jens Jensen, Science and Technology Facilities Council, United Kingdom
* Jik-Soo Kim, Myongji University, Korea
* Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain
* Kento Sato, RIKEN R-CCS, Japan
* Kyungyong Lee, Kookmin University, Korea
* Myungho Lee, Myongji University, Korea
* Raffaele Montella, University of Naples Parthenope, Italy
* Sandro Fiore, University of Trento, Italy
* Soonwook Hwang, KISTI, Korea
* Taiga Nakamura, IBM, USA
* Young Choon Lee, Macquarie University, Australia
* Young-Ri Choi, UNIST, Korea
* Yoonhee Kim, Sookmyung Womens university, Korea

=== Contacts ===

For any inquiries about the workshop or paper submission, please contact

Youngjae Kim, Sogang University, Korea, youkim AT sogang dot ac dot kr 
Dept. of Computer Science and Engineering, Sogang University, Seoul, Korea (04107) 
Tel : + 82-2-705-8933

== Sponsors ==

[http://en.kisti.re.kr http://en.kisti.re.kr/((noopener noreferrer))]
[http://nisn.re.kr/eng/ http://nisn.re.kr/eng/((noopener noreferrer))]
[http://www.ogf.org http://www.ogf.org ((noopener noreferrer))]

AMGCC21

2021-08-04T01:42:36Z

Admin: /* Technical Program Committee */

= The 9th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'21) =

https://www.americancouncils.org/sites/default/files/styles/1200x500/public/2018-04/Washington%20DC.png

<big>
* '''<del>Washington DC, USA</del> - September 27, 2021'''
* '''in conjunction with [https://conf.researchr.org/home/acsos-2021 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]'''
* '''As a consequence of the unpredictable progress of the pandemic situation, the Organizing Committee decided that the AMGCC'21 workshop will take place virtually on the original date'''
</big>

__TOC__

== News & Events ==

* '''Workshop homepage opens and is running'''
* Paper submission due date is extended into '''July 11, 2021'''

== Overview ==

AMGCC'21 workshop will be held '''in Washington DC, USA on September 27th, 2021''', to be held along with [https://conf.researchr.org/home/acsos-2021 the 2nd International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)((noopener noreferrer))]

Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as "utility computing" where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.

Managing hybrid, virtualized computing resources in a large-scale cloud computing environment, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large-scale federated hybrid computing infrastructure are crucial. In this workshop, we would like to bring researchers around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.

== Topics of Interests ==

Topics include, but are not limited to:

* Autonomic Resource Management in Cloud and Grid
* Autonomous and Adaptive Management of Virtualized Resources
* Security, Privacy, and Compliance Management for Hybrid Utility Computing
* Performance and Usage Monitoring in Hybrid Infrastructures
* Autonomic Resource Discovery and Scheduling in Cloud and Grid
* Service-based Autonomic Management in Cloud and Grid
* Hybrid Cloud Resource Provisioning Orchestration
* Adaptive Resource Provisioning and Adjustment in Grid and Cloud
* Autonomics in High Performance Cloud Computing
* Cloud/Grid Workload Profiling and Autonomic Deployment Control
* Fault tolerance and Reliability in Hybrid Utility Computing
* Federation, Bridging, and Bursting of Grid and Cloud Resources
* Data management and Analytics in Cloud
* Cyber-infrastructure, System Architectures, Design and Deployment for Grid, Cloud and Big Data
* Big Data Analytics in Cloud

== Important Dates ==

* Paper submission: July 11, 2021
* Notification of acceptance: August 4, 2021
* Camera-ready paper: August 13, 2021
* Workshop: '''September 27, 2021, half day'''

== Paper Submission Guideline ==

Submitted papers must include original work and may not be under consideration for another workshop, conference, or journal. Accepted papers must be presented at the workshop. Papers are limited to '''6 pages''' in standard IEEE proceedings format. The PDF format of the paper must be submitted online at the paper submission site before the deadline.

* IEEE proceedings format: [http://www.ieee.org/conferences_events/conferences/publishing/templates.html http://www.ieee.org/conferences_events/conferences/publishing/templates.html((noopener noreferrer))]
* Paper submission site: [https://easychair.org/conferences/?conf=amgcc2021 https://easychair.org/conferences/?conf=amgcc2021((noopener noreferrer))]

'''Extended Paper Journal Version'''

Selected papers presented at the AMGCC'21 workshop will be invited to a special issue in the Springer Cluster Computing Journal, indexed by the SCIE, JCR, and SCOPUS rank.

== Organization ==

=== Organizing Committee ===

==== Workshop Co-Chairs ====

* Youngjae Kim, Sogang University, Korea
* Sungyong Park, Sogang University, Korea

==== Web Chair ====

* Jik-Soo Kim, Myongji University, Korea

==== Staff Chair ====

* Awais Khan, Sogang University, Korea

=== Technical Program Committee ===

* Beomseok Nam, Sungkyunkwan University, Korea
* Byungchul Tak, Kyungpook National University, Korea
* Hyeonsang Eom, Seoul National University, Korea
* Heonyoung Yeom, Seoul National University, Korea
* Ilkyeun Ra, University of Colorado Denver, USA
* Jaehwan Lee, Korea Aerospace University, Korea
* Jae W. Lee, Seoul National University, Korea
* Jaeyoung Choi, Soongsil University, Korea
* Jens Jensen, Science and Technology Facilities Council, United Kingdom
* Jik-Soo Kim, Myongji University, Korea
* Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain
* Kento Sato, RIKEN R-CCS, Japan
* Kyungyong Lee, Kookmin University, Korea
* Myungho Lee, Myongji University, Korea
* Raffaele Montella, University of Naples Parthenope, Italy
* Sandro Fiore, University of Trento, Italy
* Soonwook Hwang, KISTI, Korea
* Taiga Nakamura, IBM, USA
* Young Choon Lee, Macquarie University, Australia
* Young-Ri Choi, UNIST, Korea
* Yoonhee Kim, Sookmyung Womens university, Korea

=== Contacts ===

For any inquiries about the workshop or paper submission, please contact

Youngjae Kim, Sogang University, Korea, youkim AT sogang dot ac dot kr 
Dept. of Computer Science and Engineering, Sogang University, Seoul, Korea (04107) 
Tel : + 82-2-705-8933

== Sponsors ==

[http://en.kisti.re.kr http://en.kisti.re.kr/((noopener noreferrer))]
[http://nisn.re.kr/eng/ http://nisn.re.kr/eng/((noopener noreferrer))]
[http://www.ogf.org http://www.ogf.org ((noopener noreferrer))]

AMGCC14 Program

2021-07-14T09:29:29Z

Admin:

== Workshop Program | [[AMGCC14|Workshop Main Page]]==

* '''Location''': Imperial College
* '''Date''': September 12 (Friday), 2014
* '''Time''': 08:30 AM - 05:00 PM

This workshop features a keynode by Dr. David Wallom (University of Oxford), two invited talks by Dr. Dana Petcu (West University of Timisoara) and Boris Parak (Czech Education and Scientific Network provider), and oral presentations of 5 full papers.

{| class="wikitable"
|-
! Time
! Description
! Presenter
! Institution
! Session Chair
|- align="center"

| width="10%"| 08:30 - 09:30
| colspan="4" align="center"| CAC Registration and Check-in

|- align="center"
| width="10%"| 09:30 - 09:40
| colspan="4" align="center"| Welcome Remarks by AMGCC workshop organizers

|- align="center"
| width="10%"| 09:40 - 10:35
| width="40%"| '''Keynote''': Federation of Cloud Computing to Create a Uniform e-infrastructure for Research
| width="20%"| David Wallom
| width="20%"| University of Oxford

| rowspan="2"| Soonwook Hwang

|- align="center"
| width="10%"| 10:35 - 11:30
| width="40%"| '''Invited Talk''': Challenges of Multi Clouds
| width="20%"| Dana Petcu
| width="20%"| West University of Timisoara

|- align="center"
| 11:30 - 12:00
| colspan="4" align="center"| Coffee Break

|- align="center"
| 12:00 - 12:30
| VM Auto-Scaling for Workflows in Hybrid Cloud Computing
| Younsun Ahn, Yoonhee Kim
| Sookmyung Women's University

| rowspan="2"| Jik-Soo Kim

|- align="center"
| 12:30 - 13:00
| A User-Level File System for Fast Storage Devices
| Yongseok Son, Nae Young Song, Hyuck Han, Hyeonsang Eom, Heon Young Yeom
| Seoul National University & Dongduk women's university

|- align="center"
| 13:00 - 14:00
| colspan="4" align="center"| Lunch

|- align="center"
| width="10%"| 14:00 - 14:50
| width="40%"| '''Invited Talk''': (r)OCCI -- Lessons in practical interoperability for IaaS clouds
| width="20%"| Boris Parak
| width="20%"| Czech Education and Scientific NETwork

| rowspan="2"| Soonwook Hwang

|- align="center"
| 14:50 - 15:20
| Collaborative Multi-dimensional Dataset Processing with Distributed Cache Infrastructure in the Cloud
| Youngmoon Eom, Jonghwan Moon, Jinwoong Kim, Beomseok Nam
| Ulsan National Institute of Science and Technology

|- align="center"
| 15:20 - 15:50
| colspan="4" align="center"| Coffee Break

|- align="center"
| 15:50 - 16:20
| Toward a Multi-cluster Analytical Engine for Transportation Data
| Mark Shtern, Rizwan Mian, Marin Litoiu, Saeed Zareian, Hossam Abdelgawad, Ali Tizghadam
| York University & University of Toronto

| rowspan="2"| Yoonhee Kim

|- align="center"
| 16:20 - 16:50
| High Performance Parallelization of Boyer-Moore Algorithm on Many-Core Accelerators
| Yosang Jeong, Myungho Lee, Dukyun Nam, Jik-Soo Kim, Soonwook Hwang
| Myongji University & KISTI

|- align="center"
| 16:50 - 17:00
| colspan="4" align="center"| Closing Remarks
|}

== Keynote ==

=== Federation of Cloud Computing to Create a Uniform e-infrastructure for Research by Dr. David Wallom ===

==== Biography of the presenter ====

David Wallom is the Associate Director - Innovation at the Oxford e-Research Centre in the University of Oxford. He leads three separate activities within the centre, Energy and Environmental ICT, Volunteer Computing and advanced e-infrasructure including Cloud. He also leads engagement activities within the centre with industry. Following a period as the Technical Director of the UK NGS David has lead the EGI Federated Cloud activity snce its inception as one of the original architects.

==== Talk Abstract ====

The EGI Federated Cloud is Europes largest activity in the creation of a federation of heterogeneous public and private sector suitable for use by the research community. The service has been under development since Q4 2011 and was launched into production in May of this year. The FedCloud gives members of all user communities open access to reliable cloud computing resources, an alternative to large multinational providers. As the federation is made up of smaller providers, the service that we offer must include mechanisms where users can easily migrate from one service provider to another, a feature definitely not available in public cloud currently. To enable this we have built from day one with the principles of the usage of open standards where possible and published best practices in other areas.

== Invited Talks ==

=== Challenges of Multi-Clouds by Dr. Dana Petcu ===

==== Biography of the presenter ====

Dana Petcu (Mrs., PhD) is [http://web.info.uvt.ro/~petcu/programe.htm Professor((noopener noreferrer))] at Computer Science Department of [http://www.uvt.ro/ West University of Timisoara((noopener noreferrer))], scientific manager of its [http://hpc.uvt.ro/ supercomputing center((noopener noreferrer))], and CEO of the research spin-off [http://www.ieat.ro/ Institute e-Austria Timisoara((noopener noreferrer))]. Her interest in distributed and parallel computing is reflected in more than two hundred [http://web.info.uvt.ro/~petcu/publicat.html papers((noopener noreferrer))] about Cloud, Grid, Cluster or HPC computing. She was is and was involved in several [http://web.info.uvt.ro/~petcu/contract.htm projects((noopener noreferrer))] funded by European Commission and other research funding agencies, as coordinator, scientific coordinator, or local team leader. She is chief editor of the open-access journal [http://www.scpe.org/ Scalable Computing: Practice and Experience((noopener noreferrer))].

==== Talk Abstract ====

The Cloud heterogeneity is manifested today in the set of interfaces of the services from different Clouds, in the set of services from the same provider, in the software or hardware stacks, in the terms of performance or user quality of experience. This heterogeneity is favoring the Cloud service providers allowing them to be competitive in a very dynamic market especially by exposing unique solutions. However such heterogeneity is hindering the interoperability between these services, the portability of the applications consuming the services, the seamless migration of legacy applications towards Cloud environments, as well as the automation of Cloud application deployments.

Various solutions to overcome the Cloud heterogeneity have been investigated in the last half decade, starting from the definition of uniform interfaces (defining the communalities, but loosing the specificities) and arriving to domain specific languages (allowing to conceive applications at a Cloud-agnostic level, but introducing a high overhead).

We discuss the existing approaches and their completeness from the perspective of building support systems for Multi-Clouds, identifying the gaps and potential solutions. Concrete examples are taken from recent experiments in developing a particular Multi-Cloud support system in the frame of MODAClouds project [www.modaclouds.eu (www.modaclouds.eu)((noopener noreferrer))].

=== (r)OCCI -- Lessons in practical interoperability for IaaS clouds by Boris Parak ===

==== Biography of the presenter ====

Boris Parák is the lead developer in the rOCCI project with numerous major commits and principal author of the rOCCI-server and rOCCI-cli. He is also a system administrator and a member of the team responsible for designing, building, developing and maintaining CESNET’s private HPC cloud — MetaCloud, as well as a member of the EGI Federated Cloud on behalf of CESNET, currently acting as the task leader for Virtual Machine Management.

CESNET (Czech Education and Scientific Network provider) offers long-term experience in cloud and hybrid grid/cloud solutions through NGI activities and participates in the EGI Federated Cloud Task as a resource and technology provider contributing an infrastructure based on OpenNebula exposing an OGF OCCI service endpoint provided by rOCCI-server. It also runs its own private experimental HPC cloud infrastructure based on OpenNebula.

==== Talk Abstract ====

OGF OCCI (Open Cloud Computing Interface ) [1] is an open standard/protocol for management tasks in the cloud environment focused on integration, portability and interoperability with a high degree of extensibility. It is designed to bridge differences between various cloud management platforms and provide common ground for users and developers alike.

The rOCCI framework [2][3][4][5] is designed to simplify the implementation of the OCCI 1.1 protocol in Ruby and provide the base for a working client and server implementation targeting multiple cloud management
frameworks and commercial service providers via its back-ends. It was adopted by the EGI Federated Cloud [6] and chosen to act as one of the designated OCCI implementations. This led to further development and provided much needed practical experience in real-world conditions.

This talk aims to provide information about the OGF OCCI standard/protocol, introduce its basic concepts and available implementations, describe functionality provided by the rOCCI framework in concert with multiple cloud management frameworks. It also briefly examines the use of OGF OCCI and rOCCI in the EGI FedCloud
environment and explores the possibility of further integration, extensions and improvements with interoperability in mind.

[1] [http://occi-wg.org/ http://occi-wg.org/((noopener noreferrer))]

[2] [https://github.com/EGI-FCTF/rOCCI-server https://github.com/EGI-FCTF/rOCCI-server((noopener noreferrer))]

[3] [https://github.com/EGI-FCTF/rOCCI-core https://github.com/EGI-FCTF/rOCCI-core((noopener noreferrer))]

[4] [https://github.com/EGI-FCTF/rOCCI-api https://github.com/EGI-FCTF/rOCCI-api((noopener noreferrer))]

[5] [https://github.com/EGI-FCTF/rOCCI-cli https://github.com/EGI-FCTF/rOCCI-cli((noopener noreferrer))]

[6] [http://www.egi.eu/infrastructure/cloud/ http://www.egi.eu/infrastructure/cloud/((noopener noreferrer))]

AMGCC14

2021-07-14T09:25:25Z

Admin:

= The 2nd International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC’14) =

[[File:London.png|1100px]]

<big>
 
'''Co-located with [http://www.autonomic-conference.org/ The International Conference on Cloud and Autonomic Computing (CAC 2014)((noopener noreferrer))]'''

'''London, U.K. -- September 12, 2014'''

'''Imperial College -- 08:30AM - 05:00PM''' ([[AMGCC14_Program|'''Workshop Program''']])
</big>

__TOC__

== News & Events ==

* '''Workshop homepage opens and is running'''
* '''Paper submission deadline extension to May 24th, 2014'''
* [[AMGCC14_Program|'''Workshop Program''']] is now online.

== Overview ==

AMGCC’14 [http://htcaas.kisti.re.kr/wiki/index.php/AMGCC14 (http://htcaas.kisti.re.kr/wiki/index.php/AMGCC14)((noopener noreferrer))] workshop will be held in London on September 12, 2014, in conjunction with the International Conference on Cloud and Autonomic Computing (CAC 2014) [http://www.autonomic-conference.org/ (http://www.autonomic-conference.org/)((noopener noreferrer))].

Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as “utility computing” where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.

Managing hybrid, virtualized computing resources in a large-scale cloud computing environments, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large scale federated hybrid computing infrastructures are essential. In this workshop, we would like to bring researcher around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.

== Topics of Interests ==

Topics include, but are not limited to:
* Autonomic Workflow and Resource Management in Cloud and Grid
* Autonomous and Adaptive Management of Virtualized Resources
* High Performance Grid and Cloud
* Security, Privacy, and Compliance Management for Hybrid Utility Computing
* Performance and Usage Monitoring in Hybrid Infrastructures
* Autonomic Resource Discovery and Scheduling in Cloud and Grid
* Service-based Autonomic Management in Cloud and Grid
* Hybrid Cloud Resource Provisioning Orchestration
* Adaptive Resource Provisioning and Adjustment in Grid and Cloud
* Autonomics in High Performance Cloud Computing
* Cloud/Grid Workload Profiling and Autonomic Deployment Control
* Fault tolerance and Reliability in Hybrid Utility Computing
* Federation, Bridging, and Bursting of Grid and Cloud Resources

== Important Dates ==

* Paper submission: <del>May 1, 2014</del> '''May 24''' (Extended)
* Notification of acceptance: <del>May 28, 2014</del> '''June 15'''
* Camera-ready paper: <del>June 8, 2014</del> '''July 3'''
* Workshop: September 12, 2014

== Paper Submission Guideline ==

Submitted papers must include original work and may not be under consideration for another workshop, conference, or journal. Accepted papers must be presented at the workshop. Papers are limited to 8 pages in standard [http://www.ieee.org/conferences_events/conferences/publishing/templates.html IEEE proceedings format((noopener noreferrer))]. The 8-page PDF format of the paper must be submitted online at the [https://www.easychair.org/conferences/?conf=amgcc2014 paper submission site((noopener noreferrer))] before the deadline.

'''Extended Paper Journal Version'''
Selected papers presented at the AMGCC’14 workshop will be invited to a special issue in the Springer Cluster Computing Journal, indexed by the SCIE, JCR, and SCOPUS rank [http://link.springer.com/journal/10586 (http://link.springer.com/journal/10586)((noopener noreferrer))]. In AMGCC’13, '''~ 70%''' of the presented papers were invited to publish in the journal.

== Organization ==

==== Workshop Co-Chairs ====

* David Wallom, Oxford eResearch Centre, University of Oxford, U.K.
* Myungho Lee, Myongji University, Korea
* Soonwook Hwang, Korea Institute of Science and Technology Information, Korea

==== Technical Program Committee ====

* Jaeyoung Choi, Soongsil University, Korea
* Ewa Deelman, Information Sciences Institute/University of Southern California, USA
* Ricardo Graciani Diaz, Universitat de Barcelona, Spain
* Hyunsang Eom, Seoul National University, Korea
* Sandro Fiore, CMCC and University of Salento, Italy
* Eric Heien, Computational Infrastructure for Geodynamics/University of California, Davis, USA
* Jik-Soo Kim, Korea Institute of Science and Technology Information, Korea
* Yoonhee Kim, Sookmyung Women’s University, Korea
* Jae W. Lee, Sungkyunkwan University, Korea
* Myungho Lee, Myongji University, Korea
* Young Choon Lee, University of Sydney, Australia
* Raffaele Montella, University of Naples Parthenope, Italy
* Taiga Nakamura, IBM Tokyo Research Laboratory, Japan
* Beomseok Nam, Ulsan National Institute of Science and Technology, Korea
* Sangmi Lee Pallickara, Colorado State University, USA
* Sungyong Park, Sogang University, Korea
* Yoshio Tanaka, National Institute of Advanced Industrial Science and Technology (AIST), Japan
* Tezuka Taro, University of Tsukuba
* Ananta Tiwari, San Diego Supercomputer Center (SDSC), USA
* Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain
* Justin M Wozniak, Argonne National Lab
* Heonyoung Yeom, Seoul National University, Korea

=== Contacts ===
For any inquiries about the workshop or paper submission, please contact

Myungho Lee, Myongji University, myunghol AT mju.ac.kr

Soonwook Hwang, KISTI, hwang AT kisti.re.kr

== Sponsors ==

[http://en.kisti.re.kr/ http://en.kisti.re.kr/((noopener noreferrer))]
[http://nisn.re.kr/eng/ http://nisn.re.kr/eng/((noopener noreferrer))]
[http://www.ogf.org http://www.ogf.org/((noopener noreferrer))]

AMGCC14

2021-07-14T09:24:25Z

Admin:

= The 2nd International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC’14) =

[[File:London.png|1100px]]

<big>
 
'''Co-located with [http://www.autonomic-conference.org/ The International Conference on Cloud and Autonomic Computing (CAC 2014)((noopener noreferrer))]'''

'''London, U.K. -- September 12, 2014'''

'''Imperial College -- 08:30AM - 05:00PM''' ([[AMGCC14_Program|'''Workshop Program''']])
</big>

__TOC__

== News & Events ==

* '''Workshop homepage opens and is running'''
* '''Paper submission deadline extension to May 24th, 2014'''
* [[AMGCC14_Program|'''Workshop Program''']] is now online.

== Overview ==

AMGCC’14 (http://htcaas.kisti.re.kr/wiki/index.php/AMGCC14) workshop will be held in London on September 12, 2014, in conjunction with the International Conference on Cloud and Autonomic Computing (CAC 2014) [http://www.autonomic-conference.org/ (http://www.autonomic-conference.org/)((noopener noreferrer))].

Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as “utility computing” where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.

Managing hybrid, virtualized computing resources in a large-scale cloud computing environments, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large scale federated hybrid computing infrastructures are essential. In this workshop, we would like to bring researcher around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.

== Topics of Interests ==

Topics include, but are not limited to:
* Autonomic Workflow and Resource Management in Cloud and Grid
* Autonomous and Adaptive Management of Virtualized Resources
* High Performance Grid and Cloud
* Security, Privacy, and Compliance Management for Hybrid Utility Computing
* Performance and Usage Monitoring in Hybrid Infrastructures
* Autonomic Resource Discovery and Scheduling in Cloud and Grid
* Service-based Autonomic Management in Cloud and Grid
* Hybrid Cloud Resource Provisioning Orchestration
* Adaptive Resource Provisioning and Adjustment in Grid and Cloud
* Autonomics in High Performance Cloud Computing
* Cloud/Grid Workload Profiling and Autonomic Deployment Control
* Fault tolerance and Reliability in Hybrid Utility Computing
* Federation, Bridging, and Bursting of Grid and Cloud Resources

== Important Dates ==

* Paper submission: <del>May 1, 2014</del> '''May 24''' (Extended)
* Notification of acceptance: <del>May 28, 2014</del> '''June 15'''
* Camera-ready paper: <del>June 8, 2014</del> '''July 3'''
* Workshop: September 12, 2014

== Paper Submission Guideline ==

Submitted papers must include original work and may not be under consideration for another workshop, conference, or journal. Accepted papers must be presented at the workshop. Papers are limited to 8 pages in standard [http://www.ieee.org/conferences_events/conferences/publishing/templates.html IEEE proceedings format((noopener noreferrer))]. The 8-page PDF format of the paper must be submitted online at the [https://www.easychair.org/conferences/?conf=amgcc2014 paper submission site((noopener noreferrer))] before the deadline.

'''Extended Paper Journal Version'''
Selected papers presented at the AMGCC’14 workshop will be invited to a special issue in the Springer Cluster Computing Journal, indexed by the SCIE, JCR, and SCOPUS rank [http://link.springer.com/journal/10586 (http://link.springer.com/journal/10586)((noopener noreferrer))]. In AMGCC’13, '''~ 70%''' of the presented papers were invited to publish in the journal.

== Organization ==

==== Workshop Co-Chairs ====

* David Wallom, Oxford eResearch Centre, University of Oxford, U.K.
* Myungho Lee, Myongji University, Korea
* Soonwook Hwang, Korea Institute of Science and Technology Information, Korea

==== Technical Program Committee ====

* Jaeyoung Choi, Soongsil University, Korea
* Ewa Deelman, Information Sciences Institute/University of Southern California, USA
* Ricardo Graciani Diaz, Universitat de Barcelona, Spain
* Hyunsang Eom, Seoul National University, Korea
* Sandro Fiore, CMCC and University of Salento, Italy
* Eric Heien, Computational Infrastructure for Geodynamics/University of California, Davis, USA
* Jik-Soo Kim, Korea Institute of Science and Technology Information, Korea
* Yoonhee Kim, Sookmyung Women’s University, Korea
* Jae W. Lee, Sungkyunkwan University, Korea
* Myungho Lee, Myongji University, Korea
* Young Choon Lee, University of Sydney, Australia
* Raffaele Montella, University of Naples Parthenope, Italy
* Taiga Nakamura, IBM Tokyo Research Laboratory, Japan
* Beomseok Nam, Ulsan National Institute of Science and Technology, Korea
* Sangmi Lee Pallickara, Colorado State University, USA
* Sungyong Park, Sogang University, Korea
* Yoshio Tanaka, National Institute of Advanced Industrial Science and Technology (AIST), Japan
* Tezuka Taro, University of Tsukuba
* Ananta Tiwari, San Diego Supercomputer Center (SDSC), USA
* Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain
* Justin M Wozniak, Argonne National Lab
* Heonyoung Yeom, Seoul National University, Korea

=== Contacts ===
For any inquiries about the workshop or paper submission, please contact

Myungho Lee, Myongji University, myunghol AT mju.ac.kr

Soonwook Hwang, KISTI, hwang AT kisti.re.kr

== Sponsors ==

[http://en.kisti.re.kr/ http://en.kisti.re.kr/((noopener noreferrer))]
[http://nisn.re.kr/eng/ http://nisn.re.kr/eng/((noopener noreferrer))]
[http://www.ogf.org http://www.ogf.org/((noopener noreferrer))]

HPC16

2021-07-14T09:22:01Z

Admin:

= 2016 한국정보과학회 HPC 연구회 하계 워크숍 =



[[File:Mis.jpeg|720px]]
<big>
 

*'''일시: 2016년 8월 25일(목) - 26일(금)'''
*'''장소: 인천 무의도 홈플러스 아카데미 그랜드룸'''
*'''주최: 한국정보과학회 고성능컴퓨팅 연구회'''
</big>

__TOC__

== Introduction ==

=== 고성능 딥러닝 컴퓨팅 이슈와 미래 ===
인공신경망(Artificial Neural Network) 기반 딥러닝 (Deep Learning) 등 기계학습 기술이 고성능 하드웨어의 보급과 빅데이터의 축척으로 최근 비약적으로 발전되어 바둑과 같은 고지능 게임, 영상 인식 등의 분야에서 인간의 능력을 뛰어 넘는 정확도를 보이는 소프트웨어가 개발되고 있습니다. 2015년 미국은 향후 고성능 컴퓨팅 분야의 선도적인 위치를 유지하기 위하여, 슈퍼컴퓨터가 인공지능에 이르기까지 활용되어 국가 발전에 큰 기여를 할 것으로 기대하며 국가전략컴퓨팅계획(National Strategic Computing Initiative, NSCI)을 발표했습니다. 고성능 컴퓨팅 기반 딥러닝은 인공지능뿐만 아니라 자율 주행, 로봇, 의료, 우주 등 다양한 첨단 분야들에 활용될 것으로 예상됩니다.

이번 정보과학회 HPC 연구회 하계 워크숍에서는 관련 기술/정책 전문가들이 인공신경망 개념과 딥러닝 구조에 대하여 설명하고 딥러닝 기반 기계학습 오프소스 소프트웨어 프레임워크들을 비교하며 딥러닝 가속 하드웨어 기술들을 소개한 다음 인공지능 컴퓨팅 환경 구축 전략과 방안에 대하여 발표할 예정입니다. 이어 패널 토의 시간에는 고성능 컴퓨팅 자원을 기반으로 하는 분산 병렬 딥러닝 등의 기계학습 연구 개발 이슈들을 논의하고 최선의 인공지능 컴퓨팅 환경을 확보하기 위한 방법에 대하여 토의할 예정입니다. 많은 관심과 참여 부탁 드립니다.

== Program ==
* 8월 25일(목)
{| class="wikitable"
! style="text-align: center; font-weight: bold;" | Time
! style="text-align: center;" | Description
! style="text-align: center;" | Presenter
|-
| style="text-align: center;" | 12:00-13:00
| style="text-align: center;" | 등록
| style="text-align: center;" |

|-
| style="text-align: center;" | 13:00-13:05
| style="text-align: center;" | 개회
| style="text-align: center;" | 황순욱 박사
(KISTI)
|-
| style="text-align: center;" | 13:05-13:35
| style="text-align: center;" | 제4차 산업혁명과 소프트웨어 중심사회를 준비하는 인공지능 연구체계 구축 [[http://htcaas.kisti.re.kr/wiki/images/c/c9/1_AIRI-김진형.pdf pdf((noopener noreferrer))]]
| style="text-align: center;" | 김진형 원장
(AIRI)
|-
| style="background-color: #99ccff; text-align: center; font-weight: bold;" | 세션 1
| style="background-color: #99ccff;" colspan="2" | 좌장 : 이재환 교수(한국항공대)
|-
| style="text-align: center;" | 13:35-14:20
| style="text-align: center;" | Neural Network and Deep Learning [[http://htcaas.kisti.re.kr/wiki/images/c/c4/2_dl_aug_25_2016.pdf pdf((noopener noreferrer))]]
| style="text-align: center;" | 원중호 교수
(서울대)
|-
| style="text-align: center;" | 14:20-15:05
| style="text-align: center;" | Introduction to the TensorFlow Programming Model, API and Distributed Runtime
| style="text-align: center;" | 김진철 박사
(SKTelecom)
|-
| style="text-align: center;" | 15:05-15:50
| style="text-align: center;" | 분산 딥러닝 오픈소스 소프트웨어 프레임워크 비교(TensorFlow, CNTK, Petuum, MxNet) [[http://htcaas.kisti.re.kr/wiki/images/8/81/4_20160825_HPC.pdf pdf((noopener noreferrer))]]
| style="text-align: center;" | 김건희 교수
(서울대)
|-
| style="text-align: center; font-weight: bold;" | 15:50-16:10
| style="text-align: center; font-weight: bold;" | Break Time
| style="text-align: center; font-weight: bold;" |
|-
| style="background-color: #99ccff; text-align: center; font-weight: bold;" | 세션 2
| style="background-color: #99ccff;" colspan="2" | 좌장 : 한혁 교수(동덕여대)
|-
| style="text-align: center;" | 16:10-16:55
| style="text-align: center;" | 딥러닝 가속 하드웨어: GPU or Accelerator [[http://htcaas.kisti.re.kr/wiki/images/c/c9/5_HPC-딥러닝가속기-연세대노원우-Upload.pdf pdf((noopener noreferrer))]]
| style="text-align: center;" | 노원우 교수
(연세대)
|-
| style="text-align: center;" | 16:55-17:40
| style="text-align: center;" | 인공지능 컴퓨팅 환경 확보 방안 및 전략 [[http://htcaas.kisti.re.kr/wiki/images/0/04/6_160825_인공지능컴퓨팅환경확보방안.pdf pdf((noopener noreferrer))]]
| style="text-align: center;" | 추형석 박사
(SPRi)
|-
| style="text-align: center;" | 17:40-18:20
| style="text-align: center;" | 패널 토의
| style="text-align: center;" | 다같이
|-
| style="text-align: center;" | 18:20 -
| style="text-align: center;" | 이동 및 저녁 식사
| style="text-align: center;" | 다같이
|}

* 8월 26일(금)
{| class="wikitable"
! style="text-align: center; font-weight: bold;" | Time
! style="text-align: center;" |
! style="text-align: center;" |
|-
| style="text-align: center;" | 9:30 - 11:30
| style="text-align: center; width: 519px" | HPC 연구회 현안 및 발전방향 논의
| style="text-align: center; width: 128px" | 다같이
|}

== Talk Abstracts ==

=== Neural Network and Deep Learning (서울대학교 원중호교수) ===

최근 깊은 인공신경망(artificial neural network) 구조에 기반한 딥러닝(deep learning) 학습
알고리즘이 패턴 인식의 다양한 응용 분야에서 혁신적인 성능 향상을 불러 일으키고 있다. 본 튜토리얼에서는 먼저 기본적인
인공신경망의 개념과 학습 알고리즘에 대해 정리하고, 이어서 딥러닝 알고리즘의 기본적 구조와 주요 결과들을 간략히 소개한 뒤,
그동안 딥러닝이 가장 큰 성능 향상을 가져온 분야인 영상 인식과 순차적 자료 인식에 대해 좀 더 자세히 알아본다. 구체적으로,
영상 인식에 주로 사용되는 컨볼루셔널 신경망(convolutional neural network) 및 순차적 자료 인식에 주로
사용되는 재귀적 신경망(recurrent neural network)의 구조를 소개하고, 이들 신경망 구조와 해당 학습
알고리즘들이 어떻게 영상 분류나 음성 인식 등의 문제에 응용되었고 이들 분야에서 얼마나 혁신을 가져왔는지 알아본다.

=== Introduction to the TensorFlow Programming Model, API and Distributed Runtime (SKTelecom 김진철박사)===

TensorFlow는 Deep Learning기반 Machine Learning 연산을 그래프 모델로 표현하고,
그래프 모델의 노드인 Operation 요소간에 Tensor 데이터 구조를 교환하면서 Deep Learning을
모델링하는 machine learning framework이다. 이 강의에서는 TensorFlow의 어떤 점이
전통적인 machine learning framework인 Theano와 Caffe보다 최근 더 각광을 받고 있는지
살펴본다. TensorFlow의 programming model을 살펴보면서 TensorFlow를 이용해
Deep Learning model을 디자인하고 만들 때 유의해야 할 부분에 대해서도 같이 살펴보고,
TensorFlow API의 활용 방법에 대해서도 살펴본다. 최근 발표된 Distributed Runtime API를
이용해 분산 병렬 deep learning model을 만드는 방법에 대해서 살펴보고, 대형 deep learning
model 개발 및 학습의 중요성 및 TensorFlow 아키텍처의 장점에 대해서도 같이 살펴본다.

=== 분산 딥러닝 오픈소스 소프트웨어 프레임워크 비교(TensorFlow, CNTK, Petuum, MxNet) (서울대학교 김건희교수) ===

근래 딥러닝 기술의 급격한 확산은 사용하기 쉬운 오픈소스 라이브러리들에 힘입은 바가 크다. 그 중에서도 본 세미나에서는 딥러닝의 분산화를 위해 개발된 공개 소프트웨어 프레임워크에 대해 다룬다. 즉 여러대의 노드에 분산된 다수의 CPU와 GPU를 병렬적으로 이용해 딥러닝 모델의 학습속도를 증가하기 위한 프레임워크를 비교하여 설명한다. 분산 딥러닝 분야는 근래 활발히 개발이 진행중이며, 본 세미나에서는 Industry에서 주도하는 Google의 TensorFlow와 Microsoft의 CNTK, Academia에서 주도하는 MxNet과 Poseidon을 분산화 관점에서 비교한다.

=== 딥러닝 가속 하드웨어: GPU or Accelerator (연세대학교 노원우교수) ===

인공지능 알고리즘의 구현에 있어서 하드웨어의 성능 향상은 빼 놓을 수 없는 주요 요소이다. 본 강의에서는 최근 이미지 인식, 음성 인식, 자율 주행, 데이터 분석 등에서 그 응용이 활발히 이루어지는 인공신경망(Artificial Neural Networks)의 구현과 하드웨어 가속 연구에 대한 소개를 하고자 한다. 먼저, 딥러닝 연산의 병렬성과 GPU 활용 및 이를 위한 GPU 구조 연구 소개를 한다. 또한, 최근 그 연구가 활발히 진행되는 각종 하드웨어 가속기 (Accelerator)에 대한 소개를 하고자 한다. 더불어, 이러한 GPU 및 하드웨어 가속기를 포함한 딥러닝 하드웨어의 향후 발전 방향에 대한 예상을 하고자 한다.

=== 인공지능 컴퓨팅 환경 확보 방안 및 전략 (소프트웨어정책연구소 추형석박사) ===

지난 3월 "알파고 충격"으로 인해 인공지능에 대한 대중적관심이 급증했다. 최근 인공지능 성공의 원동력은 크게 빅데이터의 확산, 저렴한 고성능 하드웨어의 보급, 공개소프트웨어 등이 있다. 빅데이터를 학습하여 지능적 의사결정이 가능해진 시점에서, 이를 직접 구현하기 위한 컴퓨팅 환경은 인공지능 연구에 있어 가장 선결되어야 하는 요소이다. 따라서 인공지능 연구 확산의 첫 번째 키워드는 컴퓨팅 환경의 구축이다. 본 발표에서는 인공지능 연구가 얼마나 많은 연산을 요구하는지 구체적인 예를 들어서 설명하고자 한다. 특히 GPU가 왜 딥러닝에 최적화된 연산처리장치인 그 근거에 대해서도 살펴볼 것이다. 마지막으로 인공지능 연구 활성화를 위한 컴퓨팅 자원 확보 방안에 대해서 논의하고자 한다.

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