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A novel load balance algorithm for cloud computing

  • Linlin Tang
  • , Jeng Shyang Pan*
  • , Yuanyuan Hu
  • , Pingfei Ren
  • , Yu Tian
  • , Hongnan Zhao
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen
  • Fujian University of Technology
  • Shenzhen University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A good scheduling algorithm is a key for load balance system, in which system’s load meets users’ requirement. Here, a new load balance algorithm based on swarm intelligence is proposed which can enhance the production of the systems while schedule tasks to VMs properly. Here tasks completion time is compared with some other classical algorithms. The result shows that the proposed algorithm could meet users’ requirement and get resource utilization higher. The algorithm is better for network of a large area which is simulated by CloudSim.

Original languageEnglish
Title of host publicationGenetic and Evolutionary Computing - Proceedings of the 9th International Conference on Genetic and Evolutionary Computing
EditorsJerry Chun-Wei Lin, Jeng-Shyang Pan, Thi Thi Zin, Pyke Tin, Mitsuhiro Yokota
PublisherSpringer Verlag
Pages21-30
Number of pages10
ISBN (Print)9783319232065
DOIs
StatePublished - 2016
Externally publishedYes
Event9th International Conference on Genetic and Evolutionary Computing, ICGEC 2015 - Yangon, Myanmar
Duration: 26 Aug 201528 Aug 2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume388
ISSN (Print)2194-5357

Conference

Conference9th International Conference on Genetic and Evolutionary Computing, ICGEC 2015
Country/TerritoryMyanmar
CityYangon
Period26/08/1528/08/15

Keywords

  • Composite sequence
  • Direct sequence spread spectrum
  • Interference avoidance
  • Power spectrum

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