A Novel Traffic Model for the Analysis of Network Traffic Characteristic

According to some discoveries and analysis results of network measurement for network traffic in recent years, much literature has proven that traffic present the nonstationary Poisson characteristic at sub-second time scales in IP backbone, which not accord with self- similarity characteristic for last decade. By analyzing Internet structure, a novel weighted mapping model is put forward, which gives a reasonable explanation for the new traffic characteristic. The model relates chaos impact factors with traffic characteristic, and transfers the traffic with self-similarity in access network to that with Poisson characteristic. Finally, the validity of the model is verified by a lot of simulation experiments on NS2.