International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 44 - Issue 1 |
Published: April 2012 |
Authors: V. Sathiyamoorthi, V. Murali Bhaskaran |
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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.