Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Faculty of Computing, Health and Science
School
School of Computer and Information Science
RAS ID
3061
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
free_to_read
Comments
This is an Author's Accepted Manuscript of: 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. 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