Explaining World Wide Web Traffic Self-Similarity

  • Authors:
  • Mark Crovella;Azer Bestavros

  • Affiliations:
  • -;-

  • Venue:
  • Explaining World Wide Web Traffic Self-Similarity
  • Year:
  • 1995

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Abstract

Abstract Recently the notion of self-similarity has been shown to apply to wide-area and local-area network traffic. In this paper we examine the mechanisms that give rise to self-similar network traffic. We present an explanation for traffic self-similarity by using a particular subset of wide area traffic: traffic due to the World Wide Web (WWW). Using an extensive set of traces of actual user executions of NCSA Mosaic, reflecting over half a million requests for WWW documents, we show evidence that WWW traffic is self-similar. 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 our traces and from data independently collected at over thirty WWW sites.