Analysis of packet transmission processes in peer-to-peer networks by statistical inference methods

被引：0

作者：

Markovich, Natalia M. ^{[1
]}

Krieger, Udo R. ^{[2
]}

机构：

[1] Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

[2] WIAI, Otto-Friedrich-University, Bamberg, Germany

来源：

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2013年 / 7754卷

关键词：

Change point detection - Dissemination protocols - Generalized Pareto Distributions - Heavy-hitter - P2p overlay networks - Packet transmissions - Statistical inference - Statistical techniques;

D O I：

10.1007/978-3-642-36784-7-5

中图分类号：

学科分类号：

摘要：

Applying advanced statistical techniques, we characterize the peculiarities of a locally observed peer population in a popular P2P overlay network. The latter is derived from a mesh-pull architecture. Using flow data collected at a single peer, we show how Pareto and Generalized Pareto models can be applied to classify the local behavior of the population feeding a peer. Our approach is illustrated both by file sharing data of a P2P session generated by a mobile BitTorrent client in a WiMAX testbed and by video data streamed to a stationary client in a SopCast session. These techniques can help us to cope with an efficient adaptation of P2P dissemination protocols to mobile environments. © 2013 Springer-Verlag Berlin Heidelberg.

引用

页码：104 / 119

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