The Design and Implementation of Distributed System for Self-Similar Network Traffic Simulation
Jing Xu
Abstract
Jing Xu
Abstract
With the development of network application,network traffic is constantly increasing,and the web application testing is becoming more important.According to statistical results,the network traffic is self-similar in the time scale.Therefore,the research of self-similar traffic model is very important.Network traffic simulation has limitation by single computer.So this paper improves the Fraction Gaussian Noise(FGN)model so that it becomes a high-speed parallel algorithm to generate self-similar traffic.Using the improved algorithm,we propose a distributed system and present the design and implementation of this system.The paper also includes the work of achieving a network traffic detection tool.The results show that the testing samples generated by the distributed system have self-similar property.
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With the development of network application,network traffic is constantly increasing,and the web application testing is becoming more important.According to statistical results,the network traffic is self-similar in the time scale.Therefore,the research of self-similar traffic model is very important.Network traffic simulation has limitation by single computer.So this paper improves the Fraction Gaussian Noise(FGN)model so that it becomes a high-speed parallel algorithm to generate self-similar traffic.Using the improved algorithm,we propose a distributed system and present the design and implementation of this system.The paper also includes the work of achieving a network traffic detection tool.The results show that the testing samples generated by the distributed system have self-similar property.
Key concepts: Network traffic simulation, Traffic generation model, Computer science, Network traffic control, Distributed computing, Traffic shaping, Network simulation, Traffic classification