摘要
文章对高速网络模拟中必需的突发(或称自相似)通信量生成方法进行了研究,提出了一种基于分数高斯噪声(FGN,Fractional Gaussian Noise)过程和二进小波变换(DWT,Dyadic Wavelet Transform)的突发通信量生成算法——FGN-DWT算法,并对该算法的精度和计算复杂度进行了数学分析和仿真实验,研究结果表明,利用FGN-DW T算法生成的突发通信量的精度和速度都令人满意,为实际网络模拟的进一步深入研究提供了基础。
Necessary bursty（self-similar） teletraffic generation methods of simulating network traffic are studied,and a new arithmetic for generating bursty teletraffic,based on Fractional Gaussian Noise（FGN） and Dyadic Wavelet Transform（DWT）, is proposed and analyzed in this paper.The statistical accuracy and complexity and time required to produce sequences of a given length were experimentally studied and comparatively analysed.This arithmetic shows a high level of accuracy of the generated bursty teletraffic and is fast,and it provides the foundation for real network simulation.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第36期145-148,共4页
Computer Engineering and Applications
基金
湖南省自然科学基金资助项目(编号:03JJY4054)
晓庄学院自然科学基金资助项目(编号:22040637)
