An Approach for Characterising Heavy-Tailed Internet Traffic Based on EDF Statistics

Mohammed Rezaul, Karim and Grout, Vic (2009) An Approach for Characterising Heavy-Tailed Internet Traffic Based on EDF Statistics. In: UNSPECIFIED Glyndŵr University Research Online.

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Abstract

In this research, statistical analyses of Web traffic were carried out based on the Empirical Distribution Function (EDF) test. Several probability distributions, such as Pareto (simple), extreme value, Weibull (three parameters), exponential, logistic and Pareto (generalized) have been chosen to fit the experimental traffic data (traces), which show an analytical indication of traffic behaviour. The issues of traffic characterisation and performance shown by these models are discussed in terms of the heavy tailedness and fitness of the curves. The aim of the research is to find a suitable analytical, method which can characterise the Web traffic.

Item Type: Book Section
Additional Information: © 2009 Springer . Metadata only available on this website. This was a book chapter published in Tenreiro Machado, J. A., Patkai, B. and Rudas, I. J. (Eds.), Intelligent Engineering Systems and Computational Cybernetics (pp.173-184) by Springer in2008. The original publication is available at http://dx.doi.org/10.1007/978-1-4020-8678-6_15
Keywords: internet traffic, heavy-tailed distribution, EDF statistics
Divisions: ?? GlyndwrUniversity ??
Depositing User: ULCC Admin
Date Deposited: 05 Oct 2011 09:13
Last Modified: 11 Dec 2017 20:06
URI: http://glyndwr.repository.guildhe.ac.uk/id/eprint/208

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