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Shui Feng (auth.), the Poisson-Dirichlet Distribution and Related Topics: Models and Asymptotic Behaviors, Springer-Verlag Berlin Heidelberg, 2010.

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Source Traffic Modeling Using Pareto Traffic Generator

Journal of Computer Networks. 2017, Vol. 4 No. 1, 11-19
DOI: 10.12691/jcn-4-1-2
Copyright © 2017 Science and Education Publishing

Cite this paper:
MOHSEN HOSAMO. Source Traffic Modeling Using Pareto Traffic Generator. Journal of Computer Networks. 2017; 4(1):11-19. doi: 10.12691/jcn-4-1-2.

Correspondence to: MOHSEN  HOSAMO, . Email:


This paper describes realistic modeling of source burst traffic using Pareto distribution. The source traffic generators, which was investigated depending on the Pareto distribution, is ParetoON/ParetoOFF for generating the burst length and gap time. Network parameters such as allowed cell rate (ACR), switch input / output rate, memory access time, queue length and cell transfer delay (CTD) have been estimated considering six data sources. Mathematical model of the source data traffic has been developed and results for ParetoON/ParetoOFF traffic generators are presented considering up to 1000 count values of the uniformly distributed random number S. The effect of shape parameter “α” of ParetoON/ParetoOFF, is reported.