An adaptive web cache access predictor using neural network

Wen Tian, Ben Choi, Vir V. Phoha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations

Abstract

This paper presents a novel approach to successfully predict Web pages that are most likely to be re-accessed in a given period of time. We present the design of an intelligent predictor that can be implemented on a Web server to guide caching strategies. Our approach is adaptive and learns the changing access patterns of pages in a Web site. The core of our predictor is a neural network that uses a backpropagation learning rule. We present results of the application of this predictor on static data using log files; it can be extended to learn the distribution of live Web page access patterns. Our simulations show fast learning, uniformly good prediction, and up to 82% correct prediction for the following six months based on a one-day training data. This long-range prediction accuracy is attributed to the static structure of the test Web site.

Original languageEnglish (US)
Title of host publicationDevelopments in Applied Artificial Intelligence - 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002, Proceedings
EditorsTim Hendtlass, Moonis Ali
PublisherSpringer Verlag
Pages450-459
Number of pages10
ISBN (Print)3540437819, 9783540437819
StatePublished - Jan 1 2002
Externally publishedYes
Event15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002 - Cairns, Australia
Duration: Jun 17 2002Jun 20 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2358
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002
CountryAustralia
CityCairns
Period6/17/026/20/02

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Tian, W., Choi, B., & Phoha, V. V. (2002). An adaptive web cache access predictor using neural network. In T. Hendtlass, & M. Ali (Eds.), Developments in Applied Artificial Intelligence - 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002, Proceedings (pp. 450-459). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2358). Springer Verlag.