View source for AMGCC21 Program

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

* '''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) 
* '''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)
* '''Is Data Migration Evil in the File System?''' <br> 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''' <br> 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''' <br> 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''' <br> 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'''<br> 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''' <br> 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'''
|}