• DocumentCode
    1656243
  • Title

    A Dynamic Dispatching Method of Resource Based on Particle Swarm Optimization for Cloud Computing Environment

  • Author

    Hongwei Zhao ; Wang Chenyu

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2013
  • Firstpage
    351
  • Lastpage
    354
  • Abstract
    This in order to implement the balanced distribution in Cloud Computing system and to improve the utilization ratio of the resource as well as handling up rate of the system, the system of dynamic dispatching system based on Particle swarm optimization(PSO) for Cloud Computing Environment has been designed and implemented after the study on the Cloud Computing. Firstly, a layered loading balancing scheduling mode has been proposed, providing the structure of the dispatching resource system. Secondly, a comprehensive resource distribution algorithm base on PSO has been designed and implemented in consideration of respective local resource counts, each join points´ performance, current load distribution. Finally, the result of the experiment indicates that the scheduling system can improve the efficiency of dispatching resource and the utilization ratio in the Cloud Computing system.
  • Keywords
    cloud computing; particle swarm optimisation; resource allocation; scheduling; PSO; cloud computing environment; comprehensive resource distribution algorithm; layered loading balancing scheduling mode; load distribution; local resource counts; particle swarm optimization; points performance; resource dynamic dispatching method; resource utilization ratio; Cloud computing; Computational modeling; Dynamic scheduling; Load management; Load modeling; Processor scheduling; Resource management; Cloud Computing; Distribution; Load balance; PSO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information System and Application Conference (WISA), 2013 10th
  • Conference_Location
    Yangzhou
  • Print_ISBN
    978-1-4799-3218-4
  • Type

    conf

  • DOI
    10.1109/WISA.2013.72
  • Filename
    6778663