Reduction in web latency through novel prefetching techniques

The internet play an vital role in accumulating the Data, even from different location, easily available to all users all over the world. However, the majority of this data are not of much concern to most of the web users as their interest vary over the time. Nowadays there exists more than a billion web sites providing necessary information to users with precise data within fewer page access delay. But the traffic on the internet has increased considerably and the network resources will be full of activity all the time due to this, delay increases, by this it degrades the efficiency of the web site. Hence there is a considerable need to lessen the web page access delay, which increases the performance of the web site. In order to decrease the web page access delay, knowing the user interest is most significant to handle the web page in a cache memory. The goal of this research is to minimize the web latency by using FSPs, to identifying Most Promising Pages, which are to be brought to the cache Memory.