International Journal of Computer Applications
Web caching and pre fetching plays a significant role among the users and websites in reducing the response time of user requests and saving the network bandwidth. The websites which are most likely visited are stored under web cache and web pre-fetch to retrieve them later shortly. Thus web caching and web pre-fetch are one of the most thriving resolutions for enhancing the performance of the web-based systems. However, the complexity in formatting the ideal Web objects that will be re-visited in the prospect is still a trouble faced by an existing conventional cluster based caching techniques. In this work, Bayesian classifier is used for web object filtering process which enhances the performance of caching techniques.