Volume 9 Number 3 (Mar. 2014)
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JSW 2014 Vol.9(3): 705-708
doi: 10.4304/jsw.9.3.705-708

Optimal Virtual Machine Resources Scheduling Based on Improved Particle Swarm Optimization in Cloud Computing

Hao Yuan , Changbing Li , Maokang Du

  • Key Lab of Electronic Commerce and Modern Logistics of Chongqing University of Posts and Telecommunications, Chongqing, P. R. China

Abstract

This paper presents virtual machines resources scheduling algorithm taking into computing capacity of processing elements and consideration their computational complexity. We apply the improved particle swarm optimization to solve virtual machines resources scheduling problem. The experiments show that the improved algorithms can provide effective solutions that the original algorithm can not provide on cloud systems.

Keywords

  • Particle
  • swarm
  • optimization;
  • resources
  • s
jsw0903-25

How to Cite

Copied

Hao Yuan, Changbing Li, and Maokang Du, "Optimal Virtual Machine Resources Scheduling Based on Improved Particle Swarm Optimization in Cloud Computing," Journal of Software, vol. 9, no. 3, pp. 705-708, 2014. https://doi.org/ 10.4304/jsw.9.3.705-708

Copyright & License

Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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