Criticisms of modelling packet traffic using long-range dependence (extended version) |
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| Authors: | Richard G Clegg Raul Landa Miguel Rio |
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| Affiliation: | Dept. of Electrical & Electronic Engineering, University College London, UK;Department of Computer Science Loughborough University Area FJ, Garendon Wing, Holywell Park Loughborough, Leicestershire LE11 3TU, UK Email: L.Guan@lboro.ac.uk Phone: +44 (0)1509 635661;Department of Computing & the Digital Environment Faculty of Engineering and Computing Coventry University Priory St, Coventry CV1 5FB, UK Email: Xingang.Wang@coventry.ac.uk Phone: +44 (0)24 7688 7688;Department of Computing School of Informatics University of Bradford Richmond Road, Bradford, West Yorkshire BD7 1DP, UK Email: I.U.Awan@Bradford.ac.uk Phone: +44(0)1274 233952;Chair of Computer Networks Faculty of Computer Science Technical University of Dresden D-01062 Dresden Email: waltenegus.dargie@tu-dresden.de Phone: +49 351 463 38352 |
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| Abstract: | This paper criticises the notion that long-range dependence is an important contributor to the queuing behaviour of real Internet traffic. The idea is questioned in two different ways. Firstly, a class of models used to simulate Internet traffic is shown to have important theoretical flaws. It is shown that this behaviour is inconsistent with the behaviour of real traffic traces. Secondly, the notion that long-range correlations significantly affects the queuing performance of traffic is investigated by destroying those correlations in real traffic traces (by reordering). It is shown that the longer ranges of correlations are not important to mean queue length except in one case with an extremely high load. |
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