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Web-log mining for predictive Web caching

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2 Author(s)
Qiang Yang ; Dept. of Comput. Sci., Hong Kong Polytech. Univ., Kowloon, China ; Zhang, H.H.

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.

Published in:

Knowledge and Data Engineering, IEEE Transactions on  (Volume:15 ,  Issue: 4 )