Comparison of Deep Reinforcement Learning Algorithms in Data Center Cooling Management: A Case Study-Reference-Cited by-同舟云学术

Comparison of Deep Reinforcement Learning Algorithms in Data Center Cooling Management: A Case Study

Published:2021-10-17 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Hua Tianyang¹,Wan Jianxiong¹,Jaffry Shan²,Rasheed Zeeshan¹,Li Leixiao¹,Ma Zhiqiang¹

Affiliation:

1. Inner Mongolia University of Technology, and Also With Inner Mongolia Autonomous Region Engineering & Technology Research Center of Big Data Based Software Service,Hohhot,China

2. School of Internet of Things, Xi’an Jiaotong-Liverpool University,Suzhou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9658572/9658575/09659100.pdf?arnumber=9659100

Reference19 articles.

1. Air Flow Measurement and Management for Improving Cooling and Energy Efficiency in Raised-Floor Data Centers: A Survey

2. Impact of active tiles on data center flow and temperature distribution

3. Q-learning;watkins;Machine Learning,1992

4. Multi-agent actor-critic for mixed cooperative-competitive environments;lowe;arXiv preprint arXiv 1706 02275,2017

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