NDLI: Electricity cost optimization for Data Centers in smart grid environment

Content Provider	IEEE Xplore Digital Library
Author	Shuben Zhang Yongyi Ran Xiaomin Wu Jian Yang
Copyright Year	2014
Description	Author affiliation: Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China (Shuben Zhang; Yongyi Ran; Xiaomin Wu; Jian Yang)
Abstract	With the cloud computing development in recent years, electricity cost associated with Data Centers had been surging significantly. Hence, it is important for cloud service providers to reduce electricity cost as much as possible. In this paper, we conceive a strategy for reducing the electricity cost by utilizing energy storage facilities which exist in data centers in smart grid environment. The problem of electricity cost minimization in the data centers with energy storage facilities by considering the temporal variation of electricity prices is modeled as Markov decision process. And we propose a dynamic energy storage control strategy based on the Q-Learning algorithm which does not assume any a priori information on the Markov process governing the energy management system of the data centers. Finally, the proposed scheme is evaluated by numerical studies. The numerical results show that the proposed scheme can minimize the electricity cost of a data center.
Starting Page	290
Ending Page	295
File Size	366101
Page Count	6
File Format	PDF
ISBN	9781479928378
DOI	10.1109/ICCA.2014.6870934
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electricity Batteries Energy consumption Heuristic algorithms Energy management Data models
Content Type	Text
Resource Type	Article

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