• DocumentCode
    1444588
  • Title

    Web prefetching in a mobile environment

  • Author

    Jiang, Zhimei ; Kleinrock, Leonard

  • Author_Institution
    California Univ., Los Angeles, CA, USA
  • Volume
    5
  • Issue
    5
  • fYear
    1998
  • fDate
    10/1/1998 12:00:00 AM
  • Firstpage
    25
  • Lastpage
    34
  • Abstract
    Prefetching is one of the most popular techniques for dealing with the slow access speed of the World Wide Web. To provide a mobile user with effective real time online prefetching requires that the prefetch decision is able to adapt to different network systems. This article describes an adaptive network prefetch scheme which accomplishes this task. The basic scheme is comprised of a prediction module and a threshold module, which computes the access probabilities and prefetch thresholds respectively. The access probabilities indicate how likely files will be requested by the user, and the prefetch thresholds determine whether the performance may be improved by prefetching certain files. As a user changes network in a mobile environment, it is the prefetch threshold, which is computed based on system conditions as well as the costs of bandwidth and time, that adjusts the number of prefetched files accordingly. In addition, by extending the method of computing the access probabilities, we are able to prefetch a group of files together for a user who is about to be disconnected from the network
  • Keywords
    Internet; adaptive systems; delays; land mobile radio; probability; radio networks; Web prefetching; World Wide Web; access delay reduction; access probabilities; adaptive network prefetch; bandwidth costs; mobile environment; network systems; performance; prediction module; prefetch thresholds; prefetched files; real time online prefetching; threshold module; time costs; Contracts; Costs; Degradation; Delay; Displays; Internet; Java; Network servers; Prefetching; World Wide Web;
  • fLanguage
    English
  • Journal_Title
    Personal Communications, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9916
  • Type

    jour

  • DOI
    10.1109/98.729720
  • Filename
    729720