Abry, PatriceBaraniuk, Richard G.Flandrin, PatrickRiedi, Rudolf H.Veitch, Darryl2007-10-312007-10-312002-05-012002-05-09P. Abry, R. G. Baraniuk, P. Flandrin, R. H. Riedi and D. Veitch, "Multiscale Nature of Network Traffic," <i>IEEE Signal Processing Magazine,</i> vol. 19, no. 3, 2002.https://hdl.handle.net/1911/19886Journal PaperThe complexity and richness of telecommunications traffic is such that one may despair to find any regularity or explanatory principles. Nonetheless, the discovery of scaling behavior 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 overview 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.engComputer network trafficTele-trafficWaveletsScalingSelf-similarityLong-Range DependenceFractalsMultifractalsCascade ProcessesMultipliWavelet based Signal/Image ProcessingMultiscale MethodsSignal Processing for NetworkingMultifractalsSignal Processing ApplicationsJournal articleComputer network trafficTele-trafficWaveletsScalingSelf-similarityLong-Range DependenceFractalsMultifractalsCascade ProcessesMultiplihttp://dx.doi.org/10.1109/79.998080