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Algorithm Research & Explore
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1728-1733,1779

Maximizing utilities in data center with dynamic resource allocation

Meng Jia1
Li Wenjie1
Yu Guangrong1
Wang Jingmian2
Zhang Bolei3
1. Jiangsu Fangtian Electric Power Technology Co. , Ltd. , Nanjing 210023, China
2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China
3. School of Computer Science, Nanjing University of Posts & Telecommunications, Nanjing 210023, China

Abstract

In a data center, load balancing is used for resource scheduling to maximize the resource utilization of servers. However, since the requirement of completion time is different across different tasks, traditional load balance methods typically ignore such heterogeneity, leading to enormous decrease in the quality of service. This paper introduced a time-utility function(TUF) to express the utility according to the completion time of a task. With TUF, this paper studied how to maximize the total utility of all active tasks by resource allocation, which could be proved to be NP hard. It designed a scheduling algorithm to allocate resources properly for tasks. The main idea was to decompose the original problem into a number of isomorphic small-scale subproblems, and used the precedence relationship between tasks to decide which task to allocate resource first. The performance of this proposed algorithm could be proved to be very close to the optimal results by theoretical analysis. Experiments show that the overall utility generated by precedence relation scheduling algorithm is about 1.5x to 2x of that generated by FIFO fair scheduling mechanism. In addition, this algorithm outperforms the state of art 2DFQ by a significant margin of 17%.

Foundation Support

国家自然科学基金重点项目(61832005)
江苏省自然科学基金青年项目(BK20200752)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.07.0173
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 6
Section: Algorithm Research & Explore
Pages: 1728-1733,1779
Serial Number: 1001-3695(2021)06-023-1728-06

Publish History

[2021-06-05] Printed Article

Cite This Article

孟嘉, 厉文婕, 于广荣, 等. 面向效用最大化的数据中心动态资源分配 [J]. 计算机应用研究, 2021, 38 (6): 1728-1733,1779. (Meng Jia, Li Wenjie, Yu Guangrong, et al. Maximizing utilities in data center with dynamic resource allocation [J]. Application Research of Computers, 2021, 38 (6): 1728-1733,1779. )

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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