Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Computing, Health and Science

School

Computer and Information Science

RAS ID

3061

Comments

This article was originally published as: Xiao, J. (2006). Agent-based Similarity-aware Web Document Pre-fetching. Proceedings of Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference, Control and Automation. (pp. 928-933). Vienna, Austria. IEEE. Original article available here

© 2005 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.v

Abstract

This paper presents an agent-based similarity-aware 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

DOI

10.1109/CIMCA.2005.1631587

Access Rights

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Link to publisher version (DOI)

10.1109/CIMCA.2005.1631587