Agent-based Similarity-aware Web Document Pre-fetching

Authors:
Jitian Xiao
Affiliations:
Edith Cowan University, Australia
Venue:
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
Year:
2005

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Mining Evolving Web Sessions and Clustering Dynamic Web Documents for Similarity-Aware Web Content Management

ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications

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Abstract

This paper presents an agent-based similarityaware web document pre-fetching scheme that is built on the similarity-aware web caching architecture. A set of agents are employed to carry out certain duties such as document similarity detection, identification of relevant access patterns, document prediction and network traffic monitoring for document pre-fetching. Preliminary simulations have been conducted to evaluate the proposed scheme, and the results have shown that the new pre-fetching scheme outperforms existing web-document pre-fetching algorithms.