Mining Web Usage and Content structure Data to Improve Web Cache Performance in Content Aggregation Systems

Abstract—Web cache performance has been reduced in Web 2.0 applications due to the increase of the content update rates and the higher number of personalized web pages. This problem can be minimized by the caching of content fragments instead of complete web pages. We propose a classification algorithm to define the fragment design that experiences the best performance. To create the algorithm, we have mined data of content characterization, user behaviour and performance. We have obtained two classification tree as result of this process. These classification trees are used to determine the fragment design. We have optimized the model of a real web site using both classification trees and we have evaluated the user observed response time. We have obtained significant results which prove that the optimization of the fragment designs can achieve high speedups in the user perceived response time. Keywords-Web caching; classification trees; web performance engineering; web content aggregation. I