自适应网络流量线性预测算法及应用  

Network Linear Prediction Based on Adaptive Filter Theory

作　　者：吕军[1] 李星[1] 

机构地区：[1]清华大学中国教育和科研计算机网络中心,北京100084

出　　处：《计算机应用研究》2005年第12期237-240,共4页Application Research of Computers

基　　金：国家"863"计划资助项目(2001AA112041)

摘　　要：Internet网络流量的分析、模型仿真以及流量的预测,在网络管理和设计中起着很重要的作用。分析了CERNET网络流量行为,提出了CERNET IP Backbone的流量模型,同时将自适应滤波的新思想引入网络流量的模型仿真和预测,提出了自适应网络流量线性预测的新算法,并将其应用于CERNET的网络流量预测。Internet traffic analysis, models simulation and prediction play a very important part in the network management and design. The author has made some research on this work. This paper shows two part contribution： First, on the basis of analyzing the autocorrelation and partial autocorrelation function, also through comparing the performance of different models, the CERNET IP backbone network traffic model has been presented. Second, bring the new thought in network traffic modeling and prediction, and propose a new algorithm for adaptive network linear prediction.

关 键 词：网络流量 线性预测 流量模型 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]