In this paper, based on Pareto traffic model, the self-similar traffic was generated by modeling on the Application Layer, the impact of Application Layer, Transport layer and Network layer on network traffic was considered. By simulation, the impact of the self-similarity of network traffic as well as the changes of network resources on network performance was studied. The main factors which impact the network performance was deeply analyzed and the accordingly strategy was also given, to provide reference for controlling the impact of the self-similarity of network traffic on the network performance.
Network integral performance evaluation has been the area receiving considerable attention recently. Based on fuzzy theory, an improved fuzzy AHP was present in this paper, and it was proved that theoretical weight value of the improved AHP is tally with actual value. So, by analyzing the degrees of each index impacting on network performance, and directly using the conclusions of the improved AHP for weighting, more efficient network evaluation could be achieved. In this paper, a method and basis for network management decision-making is provided, thus to evaluate and analyze network performance. What's more, the method of network performance evaluation using network simulation was proposed, and this method was applied to a real multimedia network.