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.
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Rezaul, K.M., Grout, V. (2009). An Approach for Characterising Heavy-Tailed Internet Traffic Based on EDF Statistics. In: Machado, J.A.T., Pátkai, B., Rudas, I.J. (eds) Intelligent Engineering Systems and Computational Cybernetics. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8678-6_15
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