• 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 ›› 2023, Vol. 45 ›› Issue (05): 790-801.

• High Performance Computing • Previous Articles     Next Articles

A survey of data center load scheduling based on renewable energy consumption

CHEN Dong-lin1,2,MA Yi-fan1,2,ZOU An-qi1,2   

  1. (1.School of Economics,Wuhan University of Technology,Wuhan 430070;
    2.Hubei Provincial Research Center for Electronic-Business Big Data Engineering Technology,Wuhan 430070,China)
  • Received:2022-04-28 Revised:2022-09-20 Accepted:2023-05-25 Online:2023-05-25 Published:2023-05-16

Abstract: In the social environment of “carbon peak and carbon neutralization” and the economic environment of “carbon cost”, renewable energy with the attribute of zero carbon + low cost has become an important decision-making factor for data center operators to carry out multi-objective management through load scheduling under various internal and external constraints. This paper analyzes the potential and mode of cooperation between renewable energy and data center operation and management, and introduces the data center load scheduling optimization method based on renewable energy consumption. Finally, this paper analyzes, summarizes and compares the data center load scheduling methods based on renewable energy consumption from three aspects: space-based scheduling optimization, time-based scheduling optimization and space-time scheduling optimization.

Key words: data centers, workload migration, renewable energy consumption, optimization