Architecture Design of a Network Traffic Simulation System Based on Self-Similar Model
Tian Jie, Jing Xu, Huachuan Zhang
Abstract
Tian Jie, Jing Xu, Huachuan Zhang
Abstract
In order to generate self-similar network traffics, researchers designed network traffic simulation system using sequential methods to generate network traffics with self-similar property on a short time scale. But there is one difficulty in how the simulation system can generate network traffics with high accuracy on a much larger time scale. So, in this paper, we present an architecture design for the distributed testing system of generating self-similar network traffic based on parallel methods and implement it via TCP/IP. We also carry out some experiments to show that this distributed system can generate highly accurate network traffics in specified Hurst parameters.
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In order to generate self-similar network traffics, researchers designed network traffic simulation system using sequential methods to generate network traffics with self-similar property on a short time scale. But there is one difficulty in how the simulation system can generate network traffics with high accuracy on a much larger time scale. So, in this paper, we present an architecture design for the distributed testing system of generating self-similar network traffic based on parallel methods and implement it via TCP/IP. We also carry out some experiments to show that this distributed system can generate highly accurate network traffics in specified Hurst parameters.
Key concepts: Computer science, Network traffic simulation, Traffic generation model, Network simulation, Network architecture, Distributed computing, Network traffic control, Computer network