• DocumentCode
    2196838
  • Title

    One Kind of Improved Load Balancing Algorithm in Grid Computing

  • Author

    Peng, Hai-yun ; Li, Qian

  • Author_Institution
    Dept. of Comput. Sci., Zhoukou Normal Univ., Zhoukou, China
  • Volume
    1
  • fYear
    2011
  • fDate
    14-15 May 2011
  • Firstpage
    347
  • Lastpage
    351
  • Abstract
    The article tries to solve the problems of resource load balance under the gridding environment, combined with the advantage of simulated annealing algorithm and genetic algorithm. It offered an optimal method of task scheduling based on genetic simulated annealing Clonal Algorithm. The Simulation experiment shows that the algorithm overcomes the shortcoming of that genetic algorithm drop into local optima easily. The global search is very capability, it can achieve resource load balancing effectively.
  • Keywords
    genetic algorithms; grid computing; resource allocation; scheduling; search problems; simulated annealing; clonal algorithm; genetic simulated annealing algorithm; grid computing; gridding environment; optimal method; resource load balancing algorithm; task scheduling; Annealing; Genetic algorithms; Genetics; Load modeling; Processor scheduling; Scheduling; Simulated annealing; Affinity; genetic simulated annealing; load balancing; task scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Computing and Information Security (NCIS), 2011 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-61284-347-6
  • Type

    conf

  • DOI
    10.1109/NCIS.2011.77
  • Filename
    5948747
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2196838