Battery-Assisted Online Operation of Distributed Data Centers with Uncertain Workload and Electricity Prices

Sun，Jun1; Chen，Shibo2; You，Pengcheng3; Yang，Qinmin4; Yang，Zaiyue5

2021

10.1109/TCC.2021.3132174

IEEE Transactions on Cloud Computing   影响因子和分区

2372-0018

This article investigates the online operation of distributed data centers equipped with energy battery. We aim to minimize their long-term operational cost by optimally distributing workload among data centers and operating energy battery. However, future spatio-temporally variant uncertainties in both workload and electricity prices have been the main impediment for a performance-guaranteed online data center operation strategy. To address this issue, we develop a fully distributed online algorithm that decouples workload distribution and battery operation across the network and time by introducing well-designed virtual queues for workload and batteries into the framework of Lyapunov optimization. Theoretically, an analytical gap between the long-term operational cost achieved by our algorithm and the theoretical optimum is provided to corroborate the desirable operation strategy. Extensive simulations using the real-world workload and electricity price data demonstrate the cost-delay tradeoff that our algorithm strikes and validate the theoretical results that we obtained.

Distributed data centers battery Lyapunov optimization

EI ; SCI

英语

其他

National Key Research and Development Program of China[2019YFB1705401] ; Natural Science Foundation of China[61873118] ; Science Technology and Innovation Commission of Shenzhen Municipality["ZDSYS20200811143601004","20200925174707002"] ; Zhejiang Provincial Nature Science Foundation of China[LZ21F030004] ; Key-Area Research and Development Program of Guangdong Province[2018B010107002]

Computer Science

Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods

WOS:001004238600017

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

20215011321690

Electric batteries ; Manganese ; Virtual addresses

Manganese and Alloys:543.2 ; Electric Batteries:702.1 ; Data Storage, Equipment and Techniques:722.1 ; Cost and Value Engineering; Industrial Economics:911

IEEE

1.College of Control Science and Engineering, Zhejiang University, 12377 Hangzhou, Zhejiang, China, 310027 (e-mail: sunjun16sj@gmail.com)
2.Department of Mechanical and Energy Engineering, Southern University of Science and Technology, 255310 Shenzhen, Guangdong, China, (e-mail: chensb@sustech.edu.cn)
3.Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, United States, (e-mail: pcyou@jhu.edu)
4.College of Control Science and Engineering, Zhejiang University, 12377 Hangzhou, Zhejiang, China, (e-mail: qmyang@zju.edu.cn)
5.Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China, (e-mail: yangzy3@sustech.edu.cn)

Sun，Jun,Chen，Shibo,You，Pengcheng,et al. Battery-Assisted Online Operation of Distributed Data Centers with Uncertain Workload and Electricity Prices[J]. IEEE Transactions on Cloud Computing,2021,PP(99):1-1.

Sun，Jun,Chen，Shibo,You，Pengcheng,Yang，Qinmin,&Yang，Zaiyue.(2021).Battery-Assisted Online Operation of Distributed Data Centers with Uncertain Workload and Electricity Prices.IEEE Transactions on Cloud Computing,PP(99),1-1.

Sun，Jun,et al."Battery-Assisted Online Operation of Distributed Data Centers with Uncertain Workload and Electricity Prices".IEEE Transactions on Cloud Computing PP.99(2021):1-1.