自相似业务流的快速生成方法及其性能研究

A Fast Selfsimilar Traffic Generatorand its Performance Analysis

网络中业务流的自相似性正日益受到重视，因为它对网络性能有着很大的影响。在缺乏对自相似模型进行数学分析的情况下，计算机仿真成为当前最有效的研究手段。ＦＧＮ（ＦｒａｃｔａｌＧａｕｓｓｉａｎＮｏｉｓｅ）是目前使用最为广泛的一种自相似模型，本文提出了一种基于其定义的快速生成算法，具有良好的运算速度和精度。

The selfsimilarity of the network traffic has large influences on the network performance. But there are few analytical or even numerical solutions for such a system. So simulation become the most efficient method for research. FGN (Fractal Gaussian Noise) is the most popularly used selfsimilar model. In this paper, we propose a fast FGN generator using algorithm based on the FGN's definition. Our study indicates that this algorithm is rather fast and accurate.