Fractal Analysis On Internet Traffic Time Series

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dc.creatorChong, K. B.
dc.creatorChoo, K. Y.
dc.date2002-06-05
dc.date2003-06-25
dc.date.accessioned2026-07-07T05:47:39Z
dc.date.available2026-07-07T05:47:39Z
dc.descriptionFractal behavior and long-range dependence have been observed in tele-traffic measurement and characterization. In this paper we show results of application of the fractal analysis to internet traffic via various methods. Our result demonstrate that the internet traffic exhibits self-similarity. Time-scale analysis show to be an effective way to characterize the local irregularity. Based on the result of this study, these two Internet time series exhibit fractal characteristic with long-range dependence.
dc.description10 pages, 6 figures
dc.identifierhttps://arxiv.org/abs/physics/0206012
dc.identifierhttp://arxiv.org/abs/physics/0206012
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/84736
dc.subjectComputational Physics
dc.subjectData Analysis, Statistics and Probability
dc.titleFractal Analysis On Internet Traffic Time Series
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