DocumentCode :
441858
Title :
Similarity-aware Web content management and document pre-fetching
Author :
Xiao, Ji-Tian ; Collins, Michael
Author_Institution :
Sch. of Comput. & Inf. Sci., Edith Cowan Univ., Mount Lawley, WA, Australia
Volume :
4
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
2307
Abstract :
Web caching is intended to reduce network traffic, server load and user-perceived retrieval latency. Web pre-fetching, which can be considered as "active" caching, builds on regular Web caching, minimizing further a Web user\´s access delay. To be effective, however, the pre-fetching techniques must be able to predict subsequent Web access with minimum computational overheads. This paper presents a similarity-based mechanism to support similarity-aware Web document pre-fetching between proxy caches and browsing clients. We first define a set of measures to assess similarities between Web documents, and then propose a multi-cache architecture to cache Web documents based on those similarities. A predictor is developed to support the similarity-aware document pre-fetching algorithm. Preliminary experiments have shown that our predictor offers superior performance when compared with some existing prediction algorithms.
Keywords :
Internet; cache storage; content management; document handling; information retrieval; Web access; Web caching; Web content management; Web document prefetching; multicache architecture; network traffic; proxy cache; server load; user-perceived retrieval latency; Australia; Computer networks; Content management; Delay; Electronic mail; Information retrieval; Information science; Network servers; Service oriented architecture; Telecommunication traffic; Similarity; document pre-fetching; web caching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527329
Filename :
1527329
Link To Document :
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