Web caching techniques have been widely used with the objective of caching as many web pages and web objects in the proxy server cache as possible to improve network performance. Web pre-fetching schemes have also been widely discussed where web pages and web objects are pre-fetched into the proxy server cache. This paper presents an approach that integrates web caching and web pre-fetching approach to improve the performance of proxy server’s cache.
If a user makes a request to a web page already stored in the cache, the proxy server accesses the local copy of the web page stored in the cache and serves it to the user who requested the web page.
The proxy server’s cache has limited capacity in terms of size of web pages that can be stored in the cache at any given time. Once the cache capacity is reached, the temporally stale web pages in the cache are discarded and replaced by newly requested web pages.
The web pages stored in the proxy server cache are managed by the cache replacement algorithms. This approach of caching is called as web caching.
Web caching has been used to reduce the network traffic by caching web pages at the proxy server level. The work presented in this paper seeks to explore an analysis based pre-fetching scheme to improve the performance of the proxy server. The prefetching scheme interprets the user’s access pattern to form a cluster of closely related pages based on the analysis of the requests from the proxy server’s log files.
When the user requests a web page that is part of such a cluster, other related web pages in the same cluster can be pre-fetched into the proxy server’s cache in the expectation that the next set of web pages requested by the web user would be from the pre-fetched web pages.
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