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Multifractal Spectra in Network Traffic Flow Analysis

Jędruś S.

Bulletin of the Polish Academy of Sciences. Technical Sciences

2000

Vol. 48, nr 4

611-617

In this paper the self-similarity of a multinomial measure is investigated and the impact of multifractal spectrum on queueing analysis results is discussed. The conclusion is that, in general, coarse grained multinomial measures are not exactly second-order self-similar but can be considered as asymptotic self-similar. In this article, such measures are used as client inter-arrival time processes in queueing models. The interpretation of the queueing modelling results is that multifractal spectrum provide an additional information (beside statistical moments and the self-similarity characteristics) describing network traffic flow.