Towards Adaptive Adjusting and Efficient Scheduling Coflows Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Towards Adaptive Adjusting and Efficient Scheduling Coflows Based on Deep Reinforcement Learning

Published:2023-12-17 Issue: Volume: Page:2041-2048
ISSN:
Container-title:2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
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Author:

Wang Zichao¹,Yan Kedong²,Chang Guanxin¹,Huang Chanying²,Xiao Shan³,Yang Yuxin⁴

Affiliation:

1. Nanjing University of Science and Technology,School of Cyber Science and Engineering,Jiangyin,China

2. Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China

3. Fiberhome Communication Technology Co., LTD,Fiberhome R & D Center,Wuhan,China

4. Nanjing Univ. of Science & Technology,School of Cyber Science & Engineering,Jiangyin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475889/10475881/10476266.pdf?arnumber=10476266

Reference24 articles.

1. Coflow

2. Decentralized task-aware scheduling for data center networks

3. Network-Aware Scheduling for Data-Parallel Jobs

4. Distributed In-Network Coflow Scheduling

5. Efficient coflow scheduling with Varys

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