Ip Man Traffic Modeling Study

With the rapid development of network technology, the Internet is getting increasingly bulky. The supplies of network and requirements of users are becoming more and more complex and diverse. As a result, it is increasingly prominent on characteristics analysis of network traffic. By targeting XI'AN Broadband Multimedia Network (XI'AN MAN), we analyze the characteristics and set up a model to the network traffic from XI'AN MAN.Here are the main three results of our research:1 Firstly, we analyze the self-similarity of network traffic. Secondly, checking the self-similarity and long range dependence through the autocorrelation functionand autocovariance. Lastly, we have found that autocovariance C^m(k) (m:aggregation order), according with the rule of Heavy-Tail function, is decaying gradually.2 Discovering that the distribution density of XI'AN MAN backbone traffic canbe fit accurately with Gamma distribution Ga(a,λ), and it's tail can be fit with theHeavy-Tail distribution. Up to now, there still have not been any reports related to the results above which among the documents I dabbled at.3 Based on MWM , we propose a new model(MWM-G) through modifying the distribution of scale coefficient a_j,k and factor A_j,k with the results mentionedabove. The results of the experiment show the effectiveness of this model.Therefore, the research results in this thesis bring us a new view on analysis of MAN with similar network topologic structure and network traffic character.