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A Survey on the Common Network Traffic Sources Models

Keywords: Traffic Modeling , Stochastic Process , Queue Theory , Chaotic Maps , Performance , Quality of Service , Poisson Process , Markova Process.

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Abstract:

Selecting the appropriate traffic model can lead to successful design of computer networks. Themore accurate the traffic model is the better the system quantified in terms of its performance.Successful design leads to enhancement the overall performance of the whole of network. Inliterature, there is innumerous traffic models proposed for understanding and analyzing the trafficcharacteristics of computer networks. Consequently, the study of traffic models to understand thefeatures of the models and identify eventually the best traffic model, for a concerned environmenthas become a crucial and lucrative task. Good traffic modeling is also a basic requirement foraccurate capacity planning. This paper provides an overview of some of the widely used networktraffic models, highlighting the core features of these models and traffic characteristics. Finally wefound that the N_BURST traffic model can capture the traffic characteristics of most types ofcomputer networks.

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