Jointly Optimizing the IT and Cooling Systems for Data Center Energy Efficiency based on Multi-Agent Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Jointly Optimizing the IT and Cooling Systems for Data Center Energy Efficiency based on Multi-Agent Deep Reinforcement Learning

Published:2020-06-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Eleventh ACM International Conference on Future Energy Systems
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Author:

Chi Ce¹,Ji Kaixuan¹,Marahatta Avinab¹,Song Penglei²,Zhang Fa³,Liu Zhiyong³

Affiliation:

1. University of Chinese Academy of Sciences, High Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

2. Capital Normal University, Beijing, China

3. High Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3396851.3402658

Reference24 articles.

1. Joint optimization of idle and cooling power in data centers while maintaining response time

2. Energy Efficient Scheduling Algorithm for Cloud Computing Systems Based on Prediction Model