自相似网络业务流量的研究与实现

为了准确测试和评估网络交换设备及其调度算法的性能,一个能够真实反映实际网络业务流量特点的业务流量产生系统是十分必要的。近年来通过对大量网络业务流量的测量和分析,人们认识到网络业务流量呈现为长相关、自相似的特性,而非泊松过程。将这一特性和现有的业务流量描述模型相结合,利用具有重尾特性的概率分布函数:Pareto分布和截尾重尾分布,构造了在宏观上表现为自相似特性的业务流量模型。针对路由交换机构调度算法的性能测试的实际需要,建立了一个可用于软件测试的网络业务流量产生系统。

On study and implementation of self-similar network traffic

To evaluate accurately the performance of the network switching equipment and the scheduling algorithm, it was very important to use a simulated network traffic which represents the major characteristics of real network. The study and analysis on the network traffic in recent years showed the traffic distribution was long-rang-dependent and self-similar, not Poisson process. Combining the modern statistical result on network traffic with the existing traffic models, a practical traffic model was constructed. Based on Pareto distribution and truncated power-tail distribution the model presents nice self-similar property in macro-scale. A practical network traffic generating system is built for evaluating the performance of switch fabric and its scheduling algorithm.