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https://doi.org/10.1007/118164...
Part of book or chapter of book . 2006 . Peer-reviewed
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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2006 . Peer-reviewed
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An Analytical Model for Web Prefetching

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 07 Sep 2006Publisher:Springer Berlin Heidelberg
Authors: Yun Shi; Lin Wei; Zhimin Gu; Lei Shi; Lei Shi; Yingjie Han;

doi: 10.1007/11816492_103 , 10.1007/978-3-540-37256-1_103

An Analytical Model for Web Prefetching

Abstract

The ultimate goal of Web prefetching is to improve the quality of service on the Web. Previous studies in speculative prefetching focus on building prediction algorithms for the purpose of Web prefetching accuracy. This paper presents a theoretical analytical model on Web prefetching, based on which, different Web prefetching scheme can be developed. The discussion tries to describe a generic prefetching algorithm and provide implementation basis for Web speculative prefetching.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
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