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Web-Log Mining for Predictive Web Caching
July/August 2003 (vol. 15 no. 4)
pp. 1050-1053

Abstract—Caching is a well-known strategy for improving the performance of Web-based systems. The heart of a caching system is its page replacement policy, which selects the pages to be replaced in a cache when a request arrives. In this paper, we present a Web-log mining method for caching Web objects and use this algorithm to enhance the performance of Web caching systems. In our approach, we develop an n-gram-based prediction algorithm that can predict future Web requests. The prediction model is then used to extend the well-known GDSF caching policy. We empirically show that the system performance is improved using the predictive-caching approach.

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Index Terms:
Web log mining, Web caching, prediction models, classification.
Citation:
Qiang Yang, Haining Henry Zhang, "Web-Log Mining for Predictive Web Caching," IEEE Transactions on Knowledge and Data Engineering, vol. 15, no. 4, pp. 1050-1053, July-Aug. 2003, doi:10.1109/TKDE.2003.1209022
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