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Publication: Wavelet-domain statistics of packet switching networks near traffic congestion

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Title Wavelet-domain statistics of packet switching networks near traffic congestion
Authors/Editors* 3. P. Liό, A.T. Lawniczak, S. Xie and J. Xu
Where published* Lecture Notes in Computer Science
How published* Proceedings
Year* 2008
Volume
Number
Pages 12
Publisher Springer-Verlag
Keywords OSI Network Layer; wavelet spectra, packet traffic, congestion
Link
Abstract
Recent theoretical and applied works have demonstrated the appropriateness of wavelets for analysing signals containing non-stationarity, unsteadiness, self-similarity, and non-Markovity. We applied wavelets to study packet traffic in a packet switching network model, focusing on the spectral properties of packet traffic near phase transition (critical point) from free flow to congestion, and considered different dynamic & static routing metrics. We show that "wavelet power spectra"and variance are important estimators of the changes occurring with source load increasing from sub-critical, through critical, to super-critical and it depends on the routing algorithm.
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