Title
An Approach for Characterising Heavy-Tailed Internet Traffic Based on EDF Statistics
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.
Disciplines
Computer and Systems Architecture | Digital Communications and Networking | Hardware Systems | Systems and Communications
Recommended Citation
Rezaul, K. M. & Grout, V. (2009). ‘An Approach for Characterising Heavy-tailed Internet Traffic Based on EDF Statistics’ in Tenreiro Machado, J. A., Patkai, B. and Rudas, I. J. (Eds.), Intelligent Engineering Systems and Computational Cybernetics. Springer. pp.173-184
Digital Commons Citation
Mohammed Rezaul, Karim and Grout, Vic, "An Approach for Characterising Heavy-Tailed Internet Traffic Based on EDF Statistics" (2009). Computing. Paper 49.
http://epubs.glyndwr.ac.uk/cair/49
Comments
© 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://www.springerlink.com