• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science ›› 2021, Vol. 43 ›› Issue (01): 9-16.

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Availability analysis of datacenter peak power shaving battery

LU Yu,ZHANG Lu,HOU Xiao-feng,ZHENG Wen-li,LI Chao   

  1. (School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

  • Received:2020-04-01 Revised:2020-06-09 Accepted:2021-01-25 Online:2021-01-25 Published:2021-01-22

Abstract: Research shows that datacenter backup batteries have shown great potential in peak power shaving. The use of batteries for peak power shaving can greatly improve the power usage efficiency of datacenter, thereby saving a lot of construction cost of datacenter power infrastructure. However, due to the accelerated battery aging phenomenon, the battery often needs to be replaced several times during the life cycle of a data center. This makes the battery cost an important part of the cost of the data center. Under the more advanced distributed backup system, the battery cost accounts for a greater proportion. Therefore, how to use batteries more economically has become a key issue for cost saving. In this paper, a revenue model for predicting battery availability is proposed, which can evaluate whether the aging battery in the traditional sense still has practical value, and how to balance the performance degradation and backup reliability problem in the aging battery use. This paper also proposes an optimized battery control method, which reduces the cost of data center backup power.


Key words: data center, peek power shaving, server performance, battery aging, availability predication