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Modeling and simulation of network performance based on self-similar traffic

Yang Tao, Guoliang Wang, Yanmei Zhao, Xia Zhou

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Abstract

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.

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What this paper is about

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.

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Available abstract

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.

Key concepts: Network traffic simulation, Computer science, Traffic generation model, Network traffic control, Network simulation, Network performance, Traffic shaping, Computer network

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