Cooperatively Improving Data Center Energy Efficiency Based on Multi-Agent Deep Reinforcement Learning

Cooperatively Improving Data Center Energy Efficiency Based on Multi-Agent Deep Reinforcement Learning

The problem of high power consumption in data centers is becoming more and more prominent. In order to improve the energy efficiency of data centers, cooperatively optimizing the energy of IT systems and cooling systems has become an effective way. In this paper, a model-free deep reinforcement lear...

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Bibliographic Details
Main Authors: Ce Chi, Kaixuan Ji, Penglei Song, Avinab Marahatta, Shikui Zhang, Fa Zhang, Dehui Qiu, Zhiyong Liu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Energies
Subjects:
data center
energy efficiency
deep reinforcement learning
multi-agent
scheduling algorithm
cooling system
Online Access:https://www.mdpi.com/1996-1073/14/8/2071

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https://www.mdpi.com/1996-1073/14/8/2071

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