Modeling and analysis of self-similar traffic based on FSNDP process

To accurately describe the self-similarity of network traffic, the modeling process of self-similar traffic is presented based on FSNDP (Fractal-Shot-Noise-Driven Poisson) process. The definition of FSNDP process is introduced, and then the mathematical model of FSNDP process is established. Based on this model, the modeling steps and parameter estimation algorithm are presented. This algorithm has the advantages of less modeling parameters and convenient generation of simulation data. To verify the accuracy of FSNDP model, the Bellcore's data trace is used to validate the model. In experiment, queue length and packet loss probability are simulated. Simulation results show that FSNDP model is highly close to the data trace, and its the queue performances are agreeable. FSNDP model has high effectiveness and reliability.