An integration approach of data mining with web cache pre-fetching

Authors:
Yingjie Fu;Haohuan Fu;Puion Au
Affiliations:
Department of Computer Science, City University of Hong Kong, Hong Kong, SAR;Department of Computer Engineering and Information Technology, City University of Hong Kong, Hong Kong, SAR;Department of Computer Engineering and Information Technology, City University of Hong Kong, Hong Kong, SAR
Venue:
ISPA'04 Proceedings of the Second international conference on Parallel and Distributed Processing and Applications
Year:
2004

Citing 2
Cited 0

Removal policies in network caches for World-Wide Web documents

Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Caching on the World Wide Web

IEEE Transactions on Knowledge and Data Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Web caching plays a very important role for improving the performance of many Web-Based systems. As web cache capacity is limited, most web cache systems are using replacement algorithm to wash out the outdated data. Our web cache prediction method is based on the fact that, many clients usually have some kinds of regular procedures to access web files, such that the regular-procedure knowledge can be mined or learned by web cache system and files can be pre-fetched accordingly.