• DocumentCode
    3680999
  • Title

    The Application of Genetic Algorithm in Task Scheduling

  • Author

    Xiaoyan Chen;Kun Zhang;Zhuang Li;Haifeng Wang

  • Author_Institution
    Electron. &
  • fYear
    2015
  • Firstpage
    332
  • Lastpage
    334
  • Abstract
    Genetic algorithm has better global search ability, so has a wide application prospect in scientific research. In this paper, the improved genetic algorithm is applied to the cloud task scheduling, through simulation experiment on the CloudSim platform, the results show that application of genetic algorithm in task scheduling, the average waiting time is shorter and scheduling costs required lower than no use of the genetic algorithm.
  • Keywords
    "Cloud computing","Genetic algorithms","Processor scheduling","Virtual machining","Job shop scheduling","Algorithm design and analysis"
  • Publisher
    ieee
  • Conference_Titel
    Network and Information Systems for Computers (ICNISC), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICNISC.2015.102
  • Filename
    7311898
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3680999