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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 7
2135-2140

CSNEO: VM mapping algorithm for collaborative server and network energy consumption optimization

Liao Bin1
Zhang Tao2,3
Yu Jiong3
Li Min1,3
Sun Ruina1,4
1. College of Statistics & Data Science, Xinjiang University of Finance & Economics, Urumqi 830012, China
2. School of Information Science & Engineering, Xinjiang University, Urumqi 830046, China
3. Dept. of Medical Engineering & Technology, Xinjiang Medical University, Urumqi 830011, China
4. School of Networks Security, University of Chinese Academy of Sciences, Beijing 100049, China
DOI: 10.19734/j.issn.1001-3695.2020.10.0384

Abstract

Existing research work for virtual machine mapping problem mainly aims at improving the server resource and energy efficiency as the goal. This paper considered the impact of server and network devices' energy consumption in the virtual machine mapping process. Based on the definition of physical server, virtual machine resource and state, virtual machine mapping and network communication matrix, it modeled the virtual machine mapping problem which collaborative energy consumption optimization and network optimization. The problem was abstracted into the packing problem with multi-resource constraints and the QAP problem with quadratic allocation. It designed virtual machine mapping algorithm CSNEO based on ACO and local search algorithm 2-exchange to solve the problem. Compared with 4 algorithms such as MDBP-ACO and vector-VM, the experimental results show that: CSNEO algorithm achieves higher virtual machine mapping efficiency on the premise of sa-tisfying multi-dimensional resource constraints, while comparing with traditional virtual machine placement algorithm which only considers network optimization, CSNEO has better energy efficiency while realizing network optimization.

Foundation Support

国家自然科学基金资助项目(61562078,61462079)
新疆维吾尔自治区“天山青年计划”资助项目(2018Q073)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.10.0384
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Technology of Network & Communication
Pages: 2135-2140
Serial Number: 1001-3695(2021)07-040-2135-06

Publish History

[2021-07-05] Printed Article

Cite This Article

廖彬, 张陶, 于炯, 等. CSNEO:协同服务器与网络能耗优化的VM映射算法 [J]. 计算机应用研究, 2021, 38 (7): 2135-2140. (Liao Bin, Zhang Tao, Yu Jiong, et al. CSNEO: VM mapping algorithm for collaborative server and network energy consumption optimization [J]. Application Research of Computers, 2021, 38 (7): 2135-2140. )

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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