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. LiÏ, 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
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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.