Modeling superposition of many sources generating self similar traffic

This paper presents steps towards creating a general model for aggregated traffic streams. We show that fitting the mean, variance and Hurst parameter is insufficient to consistently model a long range dependent traffic stream. A fourth parameter, the “level of aggregation”, is required. We also show that with increased aggregation, the behaviour of a traffic stream tends towards that of a fractal Gaussian process