Difference between revisions of "AMGCC21 Program"

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(Accepted Papers | Workshop Main Page)
(Accepted Papers | Workshop Main Page)
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* '''Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment''' <br> 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''' <br> 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'''
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* '''An Efficient VM Scheduling Framework for Interactive Streaming Service''' <br> 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)
 
* 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?'''
 
* 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'''
 
* 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'''

Revision as of 11:48, 4 August 2021

Accepted Papers | 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)
  • 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 | Workshop Main Page

  • TBD