Web Pre-fetching at Proxy Server Using Sequential Data Mining

Abstract

Reducing latency for accessing web objects is a major challenge in Proxy Server and various techniques such as web caching and Web pre-fetching is used for it. In this paper we have integrated the approach of web caching and pre-fetching using sequential data mining techniques to enhance the proxy server's performance. The web access logs collected at squid proxy servers, can be used derive interesting information regarding user's web navigation pattern which can be utilized in improving the performance of proxy server by integrating the approach of web caching and pre-fetching using sequential data mining techniques. The work presented here uses Pre-order linked position coded Web Access pattern (PLWAP) Algorithm for finding frequent accessed web objects of each user by analyzing the browsing history from the access log files and then compares the results over page replacement algorithms such as, Least Recently Used (LRU) and Least Frequently Used (LFU), first without using concept of pre-fetching and then by using pre-fetching. The experimental results show that for each data set the pre-fetching improves the performance of proxy server.