Design of Peer-to-Peer Traffic Classification System Model Based on Cloud Computing

Xi Zi Liu; Ya Bin Xu

doi:10.4028/www.scientific.net/AMM.182-183.1347

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 182-183Design of Peer-to-Peer Traffic Classification...

Design of Peer-to-Peer Traffic Classification System Model Based on Cloud Computing

Abstract:

The advantages and disadvantages of mainstream peer-to-peer (P2P) traffic classification technology in the current application are analyzed. As existing traffic classification tools fail to meet the super flow, as well as continuous increasing of network bandwidth, a cloud-based P2P traffic classification system model is proposed, which use the distributed parallel computing architecture named MapReduce based on hadoop.

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Periodical:

Applied Mechanics and Materials (Volumes 182-183)

Pages:

1347-1351

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.182-183.1347

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Online since:

June 2012

Authors:

Xi Zi Liu, Ya Bin Xu

Keywords:

Cloud Computing, DPI, Hadoop, MapReduce, P2P Traffic Classification

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References

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