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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 3
743-749

Research on power cost optimization method of multi-tenant colocation data center based on improved polar bear optimization

Li Shanshan1a,1b
Jing Chao1a,1b,2
1. a. School of Information Science & Engineering, b. Guangxi Key Laboratory of Embedded Technology & Intelligent System, Guilin University of Technology, Guilin Guangxi 541004, China
2. Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0404

Abstract

With the aim of satisfaction of demand response, this paper proposed an improved polar bear optimization based approach for cost optimization on multi-tenant colocation data centers. This paper used a one-to-many reverse auction model to reveal the relationship between tenants and operator, and encouraged tenants to voluntarily participate in the auction and submit their energy-saving plans and expected rewards. Then, this algorithm adopted the improved polar bear algorithm to solve the optimal tenant combination and minimize the cost. In detail, this method leveraged the sigmoid function to process the discretize problem. Meanwhile, to enhance the ability of jumping out of the local optimum, it integrated a mutation strategy into the algorithm. To further improve the searching ability in a global view, the method designed an adaptive field of view strategy instead of fixed field of view to dynamically adjust the scope of the local search, and reduced the probability of the algorithm trapping into the local optimal solution. Finally, the paper compared the proposed algorithm with several classical algorithms. The experimental results show that the proposed algorithm not only gains the least cost alone, but also improves the efficiency.

Foundation Support

国家自然科学基金资助项目(61802085,62262011,61862019)
广西自然科学基金资助项目(2020GXNSFAA159038)
广西可信软件重点实验室基金资助项目(kx202011)
广西中青年教师基础能力提升项目(2022KY0252)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0404
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 3
Section: Algorithm Research & Explore
Pages: 743-749
Serial Number: 1001-3695(2023)03-016-0743-07

Publish History

[2022-10-27] Accepted Paper
[2023-03-05] Printed Article

Cite This Article

李姗珊, 敬超. 基于改进北极熊算法的多租户数据中心电力成本优化方法研究 [J]. 计算机应用研究, 2023, 40 (3): 743-749. (Li Shanshan, Jing Chao. Research on power cost optimization method of multi-tenant colocation data center based on improved polar bear optimization [J]. Application Research of Computers, 2023, 40 (3): 743-749. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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