• DocumentCode
    2026810
  • Title

    ADAPTLOAD: effective balancing in clustered web servers under transient load conditions

  • Author

    Riska, Alma ; Sun, Wei ; Smirni, Evgenia ; Ciardo, Gianfranco

  • Author_Institution
    Dept. of Comput. Sci., Coll. of William & Mary, Williamsburg, VA, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    104
  • Lastpage
    111
  • Abstract
    We focus on adaptive policies for load balancing in clustered web servers, based on the size distribution of the requested documents. The proposed scheduling policy, ADAPTLOAD, adapts its balancing parameters on-the-fly, according to changes in the behavior of the customer population such as fluctuations in the intensity of arrivals or document popularity. Detailed performance comparisons via simulation using traces from the 1998 World Cup show that ADAPTLOAD is robust as it consistently outperforms traditional load balancing policies, especially under conditions of transient overload.
  • Keywords
    Internet; client-server systems; resource allocation; workstation clusters; ADAPTLOAD; Internet; adaptive policy; clustered web servers; load balancing; load sharing; scheduling policy; transient overload; Computer science; Educational institutions; Exponential distribution; Fluctuations; Load management; Processor scheduling; Robustness; Scalability; Sun; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems, 2002. Proceedings. 22nd International Conference on
  • ISSN
    1063-6927
  • Print_ISBN
    0-7695-1585-1
  • Type

    conf

  • DOI
    10.1109/ICDCS.2002.1022247
  • Filename
    1022247