Modelling Self-Similar Traffic in Networks
RTU 52nd International Scientific Conference 2011
Sergejs Šarkovskis, Elans Grabs

It is widely known, that in our days traffic in computer networks mostly is self-similar (fractal).Unfortunately, this self-similar traffic, unlike standard Markov traffic, does not have adequate model. In such conditions, in order to ensure efficient processing in networks with self-similar traffic, it is necessary to allocate significantly greater resources, compared to ones in case of the standard Markov traffic model used before. Such difference demands to be very careful when estimating parameters of flows in traffic control and management systems. In this article it is proposed to use for simulation purposes MATLAB software pack and its Simulink environment.


Keywords
Self-similar traffic, Pareto Distribution, Weibull Distribution, Simulink.

Šarkovskis, S., Grabs, E. Modelling Self-Similar Traffic in Networks. In: RTU 52nd International Scientific Conference, Latvia, Rīga, 13-14 October, 2011. Rīga: RTU ETF, 2011, pp.19-19.

Publication language
English (en)
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