ABSTRACT
Rapid growth of web application has increased the researcher’s interests in this era. All over the world has
surrounded by the computer network. There is a very useful application call web application used for the
communication and data transfer. An application that is accessed via a web browser over a network is called the web
application. Web caching is a well-known strategy for improving the performance of Web based system by keeping
Web objects that are likely to be used in the near future in location closer to user. The Web caching mechanisms are
implemented at three levels: client level, proxy level and original server level. Significantly, proxy servers play the key
roles between users and web sites in lessening of the response time of user requests and saving of network bandwidth.
Therefore, for achieving better response time, an efficient caching approach should be built in a proxy server. This
paper use FP growth, weighted rule mining concept and Markov model for fast and frequent web pre fetching in
order to has improved the hit ratio of the web page and expedites users visiting speed.
Keywords: - Web Services, Pre-fetching, Log file