Journal of Computer Networks
ISSN (Print): 2372-4749 ISSN (Online): 2372-4757 Website: Editor-in-chief: Sergii Kavun, Naima kaabouch
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Journal of Computer Networks. 2017, 4(1), 11-19
DOI: 10.12691/jcn-4-1-2
Open AccessArticle

Source Traffic Modeling Using Pareto Traffic Generator


Pub. Date: April 07, 2017

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


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.

Pareto distribution shape parameter uniformly distributed random number queue length probability density function round-robin fashion switch input / output rate memory access time

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