A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling-Reference-Cited by-同舟云学术

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A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling

Published:2023 Issue: Volume: Page:1-12
ISSN:2377-3782
Container-title:IEEE Transactions on Sustainable Computing
language:
Short-container-title:IEEE Trans. Sustain. Comput.

Author:

Cheng Long¹^ORCID,Wang Yue¹,Cheng Feng²,Liu Cheng³^ORCID,Zhao Zhiming⁴^ORCID,Wang Ying³^ORCID

Affiliation:

1. School of Control and Computer Engineering, North China Electric Power University, Beijing, China

2. School of Mathematics, Southwest Jiaotong University, Chengdu, China

3. State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

4. Research Group of Multi-Scale Networked Systems, University of Amsterdam, The Netherlands

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Control and Optimization,Hardware and Architecture,Renewable Energy, Sustainability and the Environment,Software

Link

http://xplorestaging.ieee.org/ielx7/7274860/7742329/10214311.pdf?arnumber=10214311

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