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Bandwidth sensitive content transformation in pervasive computing

Authors: Hung, Chi Chi; Hong, Lim Yan;

Bandwidth sensitive content transformation in pervasive computing

Abstract

In pervasive Internet access, the quality of presentation often needs to be adjusted according to the instantaneous network bandwidth and the hardware capability of the user's device. Current Web transformation mechanisms, being unable to adapt dynamically to the available network bandwidth and data requirement, result in uniform loss of quality, and incur additional processing overhead for every user. Hence, it is important to estimate the network conditions of each individual user dynamically, in order to perform appropriate transformation on the Web content for different users to suit their constraints. However, the WWW is a dynamic and diverse environment with great heterogeneity among its users, servers, networks, and data. This makes it difficult for us to discover the diverse network constraints of different users. The authors propose a bandwidth sensitive content transformation proxy solution to deliver the best-fit presentation to Web surfers. Transformation to Web content will be done according to the amount of latency saved, the availability of the current network bandwidth, and the workload of the servers due to transformation. To illustrate its potential, automatic Web data compression is used as an example on how adaptive content transformation will be performed and optimized.

Country
Singapore
Keywords

000, 004

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    popularity
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    influence
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Found an issue? Give us feedback
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!
4
Average
Average
Average
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