Improved web cache replacement policy using web usage data

Abstract

Web caching is one of the fundamental techniques for reducing bandwidth usage and download time while browsing World Wide Web. In this research, we provide an improvement in web caching by combining the result of web usage mining with traditional web caching technique. Web cache replacement policy is used to select which object to be removed from cache when cache is full and new object should be put into the cache. There are several techniques which consider many variables into account to select the object to be removed, such as the size of the object, the number of times the object was used, or the time that the object is added into the cache. However, the flaw in those approaches is that each object are treated separately without consider the relation of those objects. We have developed a system that can record users' browsing behavior at resources level. By using information gathered from this system, we can improve web cache replacement policy so that number of replacement in cache is reduced.