Software Technology Research
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1115-1118

Virtual machine migration model in cloud data centers based on genetic algorithm

Liu Kainan
School of Information & Intelligent Engineering, San Ya University, Sanya Hainan 572022, China

Abstract

This paper proposed and discussed a genetic algorithm based on virtual machine migration model in cloud data centers called GA-VMM. It took into account several important parameters to frame the objective function for the virtual machine migration which overwhelmed the old strategies and thus it made the virtual machine migration more reasonable and fair. It constructed the mathematics model of power consumption and live migration cost of virtual machine in GA-VMM. It designed a global optimization genetic algorithm for how virtual machine migrated and placed. Using a corporation cloud data centers ser-vers, this paper did some simulation experiments. The experimental results show that GA-VMM can effectively reduce the number of physical machine usages and virtual machines migrations compared with the common strategy. It had also obtained the fewer SLA violation and low energy consumption of data centers in our test.

Foundation Support

海南省自然科学基金面上资助项目(618MS082)
海南省高等学校教育教学改革研究重点资助项目(Hnjg2017ZD-19)
科技部国家重点研发计划专项资助项目(2017YFC0306400)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0744
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Software Technology Research
Pages: 1115-1118
Serial Number: 1001-3695(2020)04-033-1115-04

Publish History

[2020-04-05] Printed Article

Cite This Article

刘开南. 云数据中心基于遗传算法的虚拟机迁移模型 [J]. 计算机应用研究, 2020, 37 (4): 1115-1118. (Liu Kainan. Virtual machine migration model in cloud data centers based on genetic algorithm [J]. Application Research of Computers, 2020, 37 (4): 1115-1118. )

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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