• DocumentCode
    1869984
  • Title

    A hybrid strategy for load balancing in distributed systems environments

  • Author

    Esquivel, S.C.

  • Author_Institution
    Grupo de Interes en Sistemas de Comput., Univ. Nacional de San Luis
  • fYear
    1997
  • fDate
    13-16 Apr 1997
  • Firstpage
    127
  • Lastpage
    132
  • Abstract
    Load balancing algorithms attempt to improve systems performance through process migration. The article presents a hybrid strategy for load balancing in distributed systems, which exploits the benefits of evolutionary and predictive approaches. In order to decrease the communication traffic typically generated by load balancing schemes, we sought for a reduction in the number of requests done by an overloaded node. The predictive strategy applied to achieve this goal uses the knowledge attained by each node, through its previous experience
  • Keywords
    computer networks; genetic algorithms; processor scheduling; resource allocation; telecommunication traffic; communication traffic; distributed systems environments; hybrid strategy; load balancing; overloaded node; predictive approaches; predictive strategy; previous experience; process migration; systems performance; Councils; Delay; Distributed computing; Genetic algorithms; Hardware; LAN interconnection; Load management; Local area networks; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 1997., IEEE International Conference on
  • Conference_Location
    Indianapolis, IN
  • Print_ISBN
    0-7803-3949-5
  • Type

    conf

  • DOI
    10.1109/ICEC.1997.592282
  • Filename
    592282