Software Technology Research
|
1102-1106

Container cloud multi-dimensional resource utilization balanced scheduling

Gong Kun
Wu Yongwei
Chen Kang
Dept. of Computer Science & Technology, Tsinghua University, Beijing 100084, China

Abstract

This paper researched and improved the scheduling policy on the OpenShift container cloud platform and proposed the evaluation function and scheduling method based on the multi-dimensional resource idle rate weight. This scheme consi-dered the factors of CPU, memory, disk, bandwidth and the deployed container applications on the physical machines, and used the FAHP(fuzzy analytic hierarchy process) to automatically model and solve the multi-dimensional resource weighting parameters of the container applications. Experiments show that the new scheduling enables the cluster multi-dimensional resources utilization more balanced, improves resource utilization and cluster performance.

Foundation Support

国家重点研发计划资助项目(2016YFB1000504)
国家自然科学基金资助项目(61433008,61373145,61572280,U1435216)
中国博士后科学基金资助项目(2018M630162)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.09.0764
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Software Technology Research
Pages: 1102-1106
Serial Number: 1001-3695(2020)04-030-1102-05

Publish History

[2020-04-05] Printed Article

Cite This Article

龚坤, 武永卫, 陈康. 容器云多维资源利用率均衡调度研究 [J]. 计算机应用研究, 2020, 37 (4): 1102-1106. (Gong Kun, Wu Yongwei, Chen Kang. Container cloud multi-dimensional resource utilization balanced scheduling [J]. Application Research of Computers, 2020, 37 (4): 1102-1106. )

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.

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