SODA

The Failure of 'The Failure of Poisson Modeling' for Internet Bandwidth Measurements

Ekelin, Svante and Nilsson, Martin (2005) The Failure of 'The Failure of Poisson Modeling' for Internet Bandwidth Measurements. In: Radiovetenskap och Kommunikation 2005 (RVK'05), 14-16 June 2005, Mjärdevi, Linköping, Sweden.

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Abstract

There is a classic paper, which claims that many parameters of network traffic are best modeled by stochastic distributions with infinite variance. We believe that although this paper is correct, it has commonly been overinterpreted. It is true that some distributions have infinite variance, but not all. There are important cases where distributions of traffic parameters have finite variance. As an example, we show that the end-to-end available bandwidth must have finite variance, outline a method for measuring it, and present some experimental data.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:modeling, network, distribution, variance, tail-heavy, available bandwidth, measurement, Kalman filter.
ID Code:230
Deposited By:IAM Researcher
Deposited On:25 Jan 2006
Last Modified:18 Nov 2009 15:55

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