自相似网络流量模拟的分布式系统的设计与实现

The Design and Implementation of Distributed System for Self-Similar Network Traffic Simulation

随着网络应用的发展,网络流量不断加大,对于网络应用系统的测试也占有越来越重要的地位.良好的网络流量模型能较为真实的反映网络的情况,并能给与应用系统更为全面的测试.根据统计学的结果表明,网络流量在时间上具有自相似性.因此,对自相似流量模型的研究十分重要.为了克服单机生成网络流量的不足,本文对于分形高斯噪声(FGN)模型的算法进行了改进,使其能够并行且高速的生成自相似样本.文中针对改进后的算法提出了分布式系统,并阐述了系统的整体结构和控制机制的设计与实现.本文的工作还包括实现了一个检测网络流量的检测端,并通过它来分析分布式系统所生成的样本.结果表明,本系统所生成的网络流量具有自相似性.

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.