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Available bandwidth estimation in public clouds

Authors: Phuong Ha; Lisong Xu;

Available bandwidth estimation in public clouds

Abstract

Recent years have witnessed a rapid increase of public cloud adoption as a result of the growing user demands and numerous advantages of public cloud computing. However, the great benefits of public cloud computing come at the cost of little visibility of the underlying network resources. Motivated by the strong desire of users to gain more information of the network resources, in this paper we experimentally study whether the current Available Bandwidth Estimation Tools (ABETs) can accurately estimate the available bandwidth of public clouds. We find that the current ABETs do not work well in public clouds, and their inaccuracy is caused mainly by the two fundamental virtualization techniques, computer virtualization and network virtualization. Our study has also provided us with important insights into improving the accuracy of the current ABETs or designing new ABETs on public clouds.

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Found an issue? Give us feedback
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!
5
Average
Average
Top 10%
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