Source Traffic Modeling Using Pareto Traffic Generator

MOHSEN HOSAMO^,

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

Abstract

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 Pareto_ON/Pareto_OFF 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 Pareto_ON/Pareto_OFF traffic generators are presented considering up to 1000 count values of the uniformly distributed random number S. The effect of shape parameter “α” of Pareto_ON/Pareto_OFF, is reported.

Keywords:
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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