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Adaptive Web Prefetching Scheme using Link Anchor Information

P. Venketesh, R. Venkatesan Published in

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
10.5120/ijais12-450259
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  1. P Venketesh and R.venkatesan. Article: Adaptive Web Prefetching Scheme using Link Anchor Information. International Journal of Applied Information Systems 2(1):39-46, May 2012. BibTeX

    @article{key:article,
    	author = "P. Venketesh and R.venkatesan",
    	title = "Article: Adaptive Web Prefetching Scheme using Link Anchor Information",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 2,
    	number = 1,
    	pages = "39-46",
    	month = "May",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Web prefetching provides an effective mechanism to mitigate the user perceived latency when accessing the web pages. The content of web pages provide useful information for generating the predictions, which are used to prefetch the web objects for satisfying the user's future requests. In this paper, we propose fuzzy logic based web prefetching scheme that generates effective predictions for prefetching the web objects. Predictions are generated based on the anchor text information associated with hyperlinks in a web page. Based on the user's browsing pattern in each session, prediction engine dynamically computes the value and generates the list of predictions. The prefetched web objects are effectively utilized when user browses the web pages for information related to specific topic of interest. In long duration browsing sessions, useful predictions are generated to efficiently minimize the user perceived latency. The proposed scheme is compared with existing prefetching algorithms and the results indicate that the new scheme achieves improved cache-hit rate and precision accuracy.

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Keywords

Prefetching, Predictions, Fuzzy Logic, Hyperlinks, Anchor Text