Multifractal Traffic Modeling using a Multiplicative Cascade with Generalized Multiplier Distributions

In this article we propose a multifractal traffic model that is based on a multiplicative cascade with generalized multiplier distributions. The multipliers are obtained through the estimation of their probability densities determined from real network traffic by using Kernel and Acceptance/Rejection methods. Statistical analysis and queueing behavior study were carried out for the model validation, verifying its performance in capturing the traffic trace characteristics in comparison to other multiplicative cascade based models.