• DocumentCode
    1546408
  • Title

    Self-similarity in World Wide Web traffic: evidence and possible causes

  • Author

    Crovella, Mark E. ; Bestavros, Azer

  • Author_Institution
    Dept. of Comput. Sci., Boston Univ., MA, USA
  • Volume
    5
  • Issue
    6
  • fYear
    1997
  • fDate
    12/1/1997 12:00:00 AM
  • Firstpage
    835
  • Lastpage
    846
  • Abstract
    The notion of self-similarity has been shown to apply to wide-area and local-area network traffic. We show evidence that the subset of network traffic that is due to World Wide Web (WWW) transfers can show characteristics that are consistent with self-similarity, and we present a hypothesized explanation for that self-similarity. Using a set of traces of actual user executions of NCSA Mosaic, we examine the dependence structure of WWW traffic. First, we show evidence that WWW traffic exhibits behavior that is consistent with self-similar traffic models. Then we show that the self-similarity in such traffic can be explained based on the underlying distributions of WWW document sizes, the effects of caching and user preference in file transfer, the effect of user “think time”, and the superimposition of many such transfers in a local-area network. To do this, we rely on empirically measured distributions both from client traces and from data independently collected at WWW servers
  • Keywords
    Internet; local area networks; performance evaluation; statistical analysis; telecommunication traffic; wide area networks; LAN traffic; NCSA Mosaic; WAN traffic; WWW document size distribution; WWW servers; WWW traffic; World Wide Web traffic; caching; client traces; dependence structure; empirically measured distributions; file transfer; local-area network; self-similar traffic models; self-similarity; statistical tests; user preference; user think time; wide-area network; Intelligent networks; Internet; Local area networks; Network servers; Tail; Telecommunication traffic; Traffic control; Web server; Web sites; World Wide Web;
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/90.650143
  • Filename
    650143