• DocumentCode
    2807620
  • Title

    Improving Web Prefetching by Making Predictions at Prefetch

  • Author

    de la Ossa, B. ; Gil, J.A. ; Sahuquillo, J. ; Pont, A.

  • Author_Institution
    Polytech. Univ. of Valencia Camino de Vera, Valencia
  • fYear
    2007
  • fDate
    21-23 May 2007
  • Firstpage
    21
  • Lastpage
    27
  • Abstract
    Most of the research attempts to improve Web prefetching techniques have focused on the prediction algorithm with the objective of increasing its precision or, in the best case, to reduce the user´s perceived latency. In contrast, to improve prefetching performance, this work concentrates in the prefetching engine and proposes the Prediction at Prefetch (P@P) technique. This paper explains how a prefetching technique can be extended to include our P@P proposal on real world conditions without changes in the web architecture or HTTP protocol. To show how this proposal can improve prefetching performance an extensive performance evaluation study has been done and the results show that P@P can considerably reduce the user´s perceived latency with no additional cost over the basic prefetch mechanism.
  • Keywords
    Internet; information retrieval; HTTP protocol; Web browser; Web prefetching techniques; Web server; prediction algorithm; prediction at prefetch technique; user perceived latency; Costs; Delay; Engines; Network servers; Prediction algorithms; Prefetching; Proposals; Protocols; Service oriented architecture; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Internet Networks, 3rd EuroNGI Conference on
  • Conference_Location
    Trondheim
  • Print_ISBN
    1-4244-0857-1
  • Electronic_ISBN
    1-4244-0857-1
  • Type

    conf

  • DOI
    10.1109/NGI.2007.371193
  • Filename
    4231816