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Mining Web Logs to Improve Web Caching and Prefetching

  • Qiang Yang
  • Henry Haining Zhang
  • Ian T. Y. Li
  • Ye Lu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2198)

Abstract

Caching and prefetching are well known strategies for improving the performance of Internet systems. The heart of a caching system is its page replacement policy, which selects the pages to be replaced in a proxy cache when a request arrives. By the same token, the essence of a prefetching algorithm lies in its ability to accurately predict future request. In this paper, we present a method for caching variable-sized web objects using an n-gram based prediction of future web requests. Our method aims at mining a prediction model from the web logs for document access patterns and using the model to extend the well-known GDSF caching policy. In addition, we present a new method to integrate this caching algorithm with a prediction-based prefetching algorithm. We empirically show that the system performance is greatly improved using the integrated approach.

Keywords

Web log mining web caching and prefetching 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Qiang Yang
    • 1
  • Henry Haining Zhang
    • 1
  • Ian T. Y. Li
    • 1
  • Ye Lu
    • 1
  1. 1.School of Computing ScienceSimon Fraser UniversityBurnabyCanada

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