Data center energy efficiency simulation based on genetic algorithm

Computer Engineering & Science ›› 2021, Vol. 43 ›› Issue (8): 1341-1352.

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Data center energy efficiency simulation based on genetic algorithm

MAO Yuan-yuan1,SHI En-ya1,JIANG Cong-feng1,QIU Ye-liang2,JIA Gang-yong1,WAN Jian3,YAN Long-chuan4

(1.School of Computer Science and Technology,Hangzhou Dianzi University,Hangzhou 310018;

2.Alibaba Cloud,Hangzhou 311121;

3.School of Information and Electronic Engineering,Zhejiang University of Science and Technology,Hangzhou 310023;

4.Information and Communication Corporation,State Grid Corporation of China,Beijing 100053,China)

Received:2020-12-01 Revised:2021-04-11 Online:2021-08-25 Published:2021-08-24

Abstract

Abstract: With the continuous expansion of the number and scale of data centers, energy consumption has become a key issue that restricts the cost and reliability of data centers. Moreover, with the iterative updates of the hardware after the data center is put into operation, the heterogeneity of the data center server has further increased, and its energy efficiency has also undergone major changes compared with the initial design and construction. Therefore, according to the structure and hardware configuration of the data center server, the dynamic energy efficiency simulation and analysis of the entire data center will help to grasp the energy efficiency status of the data center in real time, carry out energy efficiency aware load scheduling, and provide the possibility of energy efficiency optimization. Based on the SPECpower test results of enterprise-level servers, this article first analyzes the energy efficiency deve-
lopment trends and influencing factors of servers in recent years. Secondly, based on the genetic algorithm, the energy efficiency optimization of the data center is simulated, and a prototype system of the energy efficiency simulator of the data center is designed. The simulator can dynamically simulate and adjust the operating status of data center servers according to power supply limits, load conditions, throughput indicators, etc., and simulate the energy efficiency of data centers of different sizes and types of servers. The proposed data center energy efficiency simulation algorithm based on genetic algorithm obtains smaller errors and shorter simulation calculation time in the energy minimization problem.

Key words: data center, energy efficiency, genetic algorithm, simulation, SPECpower

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Data center energy efficiency simulation based on genetic algorithm

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