Proceedings of International Conference on Applied Innovation in IT
2016/03/10, Volume 4, Issue 1, pp.5763
Modeling of Selfsimilar Traffic
Irina Strelkovskaya, Irina Solovskaya, Nikolay Severin Abstract: Modeling of selfsimilar traffic is performed for the queuing system of G/M/1/K type using Weibull distribution. To study the selfsimilar traffic the simulation model is developed by using SIMULINK software package in MATLAB environment. Approximation of selfsimilar traffic on the basis of spline functions. Modeling selfsimilar traffic is carried out for QS of W/M/1/K type using the Weibull distribution. Initial data are: the value of Hurst parameter H=0,65, the shape parameter of the distribution curve α ≈0,7 and distribution parameter β ≈0,0099. Considering that the selfsimilar traffic is characterized by the presence of "splashes" and longterm dependence between the moments of requests arrival in this study under given initial data it is reasonable to use linear interpolation splines.
Keywords: selfsimilar traffic, Hurst parameter, Weibull distribution, modeling, queuing system, approximation, spline function
DOI: 10.13142/KT10004.23
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