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2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (2010)
London, England
June 9, 2010 to June 11, 2010
ISBN: 978-0-7695-4088-7
pp: 115-120
ABSTRACT
In Internet applications, Web object prefetching is a commonly used and quite effective algorithmic approach to reduce user perceived delays. While a separate concept, prefetching is closely related to caching and they are often blended together in Web algorithms. In this paper, we give a review of Web prefetching models and algorithms, categorize them into groups based on their design principles, and compare their functionalities and performance. We then proposed a new prefetching algorithm that is based on the Adaptive Resonance Theory (ART) of neural networks. The new model uses the bottom-up and top-down weights of the cluster-URL connections obtained from a modified ART1 algorithm to make prefecthing decisions.
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CITATION

W. Feng, G. Hu and T. H. Kazi, "Web Object Prefetching: Approaches and a New Algorithm," 2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing(SNPD), London, England, 2010, pp. 115-120.
doi:10.1109/SNPD.2010.28
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