一种新的基于事件触发的网络流量采样测量方法及其应用研究

A Novel Network Traffic Sampling Measurement Method Based on Event-Driven and Its Application Research

该文主要对采样测量方法进行了研究,提出了基于事件触发的分层随机双采样方法(ESRDS)。通过与传统采样方法的仿真实验比较,证明该方法在分析包长、包到达时间间隔时性能都比较高,尤其该方法采样结果在估计包到达时间间隔时方面和实际比较接近。同时作者还对采样测量方法在计算Hurst参数方面进行了研究,应用ESRDS对网络流量的Hurst参数进行了估计,估计值和实际值之间的误差非常小.

This paper researches mainly on the network traffic sampling measurement methods. The Stratified Random Double Sampling method based on Event-driven(ESRDS) is proposed. It's performance is proved to be better than traditional methods in analyzing the length and interval of packets according to simulation experiments. Especially, estimated interval time of packages by this method is nearly real. It also researches on the measurement methods in the calculating Hurst coefficient. According to the estimation of Hurst coefficient using ESRDS method, the error is much less between estimated and real values.