Abstract This paper explores an algorithmic means for simulating self-similar data traffic, which can be used to model broadband networks. The aim of this work is to create a traffic generator tool that generates stochastic self-similar traffic using a fast simulation technique known as Random Midpoint Displacement Algorithm (RMDA). Finally, the output of the RMDA traffic generator is evaluated for accuracy by using the Varience of Residuals method to compare the Hurst estimates to the actual...