• DocumentCode
    475619
  • Title

    A Load Balance Algorithm for Hybrid P2P Network Model

  • Author

    Xiao-ling, Fu ; Ying, Xu

  • Author_Institution
    Dept. of Comput. Sci. & Technol., North China Univ. of Technol., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    3-4 Aug. 2008
  • Firstpage
    236
  • Lastpage
    239
  • Abstract
    This paper presents a dynamic feedback adaptive scheduling algorithm to deal with the load balance of Super Peers in hybrid P2P network. The algorithm applies the adaptive peers´ distribution login request by weighted rotation, and adjusts the Super Peers´ scheduling sequence dynamically with genetic algorithms to make the Super Peers load in system tending to a best balanced state.
  • Keywords
    genetic algorithms; peer-to-peer computing; resource allocation; scheduling; Super Peers; distribution login request; dynamic feedback adaptive scheduling algorithm; genetic algorithms; hybrid P2P network model; load balance algorithm; Adaptive scheduling; Clustering algorithms; Computer networks; Control systems; Dynamic scheduling; Feedback; Genetic algorithms; Load management; Network topology; Scheduling algorithm; Dynamic Feedback; Load Balancing; P2P;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3290-5
  • Type

    conf

  • DOI
    10.1109/CCCM.2008.325
  • Filename
    4609506
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=475619