|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 44 - Issue 1 |
| Published: April 2012 |
| Authors: V. Sathiyamoorthi, V. Murali Bhaskaran |
10.5120/6225-8190
|
V. Sathiyamoorthi, V. Murali Bhaskaran . Optimizing the Web Cache Performance by Clustering based Pre-Fetching Technique using Modified ART1. International Journal of Computer Applications. 44, 1 (April 2012), 7-9. DOI=10.5120/6225-8190
@article{ 10.5120/6225-8190,
author = { V. Sathiyamoorthi,V. Murali Bhaskaran },
title = { Optimizing the Web Cache Performance by Clustering based Pre-Fetching Technique using Modified ART1 },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 44 },
number = { 1 },
pages = { 7-9 },
doi = { 10.5120/6225-8190 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A V. Sathiyamoorthi
%A V. Murali Bhaskaran
%T Optimizing the Web Cache Performance by Clustering based Pre-Fetching Technique using Modified ART1%T
%J International Journal of Computer Applications
%V 44
%N 1
%P 7-9
%R 10.5120/6225-8190
%I Foundation of Computer Science (FCS), NY, USA
Web caching is a technique which is used to reduce user perceived latency when user is accessing the Web pages. Web pre-fetching is a scheme where Web pages are pre-fetched into the intermediate server (proxy) cache before user accessing it. These two techniques can complement each other since the Web caching exploits the temporal locality, whereas Web pre-fetching utilizes the spatial locality of Web objects. In this paper, we developed modified ART1 neural network to pre-fetch Web pages into the proxy cache. We have also empirically shown the performance of proposed work with the existing ART1 based pre-fetching. By using this approach the hit rate of the cache increases, which in turn reduces the user perceived latencies.