Automatized traffic model generation for rapid measurement-based network simulation

We introduce a rapid measurement-based traffic modeling technique that can be completely automated; no parameter tuning or other manual intervention is required. The model is designed such that both its rate cumulative density and power spectral density functions match those of the original traffic over the time-scales of interest. Since the model is derived from Fourier series representation and the discrete-time Markov Modulated Poisson Process (MMPP), it can easily capture diverse, even non-rational, power spectral densities