Wavelet and Multiscale Analysis of Network Traffic

Abstract : The complexity and richness of telecommunications traffic is such that one may despair to find any regularity or explanatory principles. Nonetheless, the discovery of scaling behaviour in tele-traffic has provided hope that parsimonious models can be found. The statistics of scaling behavior present many challenges, especially in non-stationary environments. In this paper we describe the state of the art in this area, focusing on the capabilities of the wavelet transform as a key tool for unravelling the mysteries of traffic statistics and dynamics.
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Article dans une revue
IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2002, 19 (3), pp.28--46
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https://hal-ens-lyon.archives-ouvertes.fr/ensl-00195090
Contributeur : Patrice Abry <>
Soumis le : mardi 11 décembre 2007 - 22:56:54
Dernière modification le : jeudi 19 avril 2018 - 14:54:03
Document(s) archivé(s) le : lundi 12 avril 2010 - 06:42:07

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  • HAL Id : ensl-00195090, version 1

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Patrice Abry, Richard Baraniuk, Patrick Flandrin, Rudolf Riedi, Darryl Veitch. Wavelet and Multiscale Analysis of Network Traffic. IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2002, 19 (3), pp.28--46. 〈ensl-00195090〉

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