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Coordinated data prefetching by utilizing reference information at both proxy and web servers

Authors: Xin Chen 0034; Xiaodong Zhang 0001;

Coordinated data prefetching by utilizing reference information at both proxy and web servers

Abstract

Existing prefetching techniques rely on server-based, proxy-based, or client-based reference access information. Although Web servers may provide accurate access information, our studies show that significant communication overhead can be involved by sending unnecessary reference information to clients or/and proxy servers. Our study also shows that prediction accuracy of proxy-based prefetching can be significantly limited without input of Web servers. We propose a coordinated proxy-server prefetching technique that adaptively utilizes the reference information and coordinates prefetching activities at both proxy and web servers. In our design, the reference access information stored in proxy servers will be the main source serving data prefetching for groups of clients, each of whom shares the common surfing interests. The access information in the web server will be used to serve data prefetching only for data objects that are not qualified for proxy-based prefetching. Conducting trace-driven simulations, we show that both hit ratios and byte hit ratios contributed from coordinated proxy-server prefetching are are up to 88% higher than that from proxy-based prefetching, and they are comparable to the ratios from server-based prefetching with a difference of 5%.

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    influence
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selected citations
These citations are derived from selected sources.
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!
13
Average
Top 10%
Top 10%
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