Web-Log Mining for Predictive Web Caching (2003)
| Venue: | IEEE Transactions on Knowledge and Data Engineering |
| Citations: | 10 - 0 self |
BibTeX
@ARTICLE{Yang03web-logmining,
author = {Qiang Yang and Haining Henry Zhang},
title = {Web-Log Mining for Predictive Web Caching},
journal = {IEEE Transactions on Knowledge and Data Engineering},
year = {2003},
volume = {15},
pages = {2003}
}
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Abstract
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. Index Terms—Web log mining, Web caching, prediction models, classification.
