基于SNMP的天基网络流量的在线遥测与预测  

SNMP-based Constellation Networks Traffic Telemetry and Forecasting

作　　者：黄英君 吴玲达[1] 王晖[1] 张军[1] 

机构地区：[1]国防科学技术大学信息系统与管理学院系统工程系,湖南长沙410073

出　　处：《计算机应用研究》2007年第7期283-285,共3页Application Research of Computers

基　　金：国家"863"计划资助项目(2003AA712022)

摘　　要：针对星上路由器的业务流量速率为遥测目标,使用SNMP报文来实时收集网络流量统计信息,并使用多分辨率分析与神经网络结合的方法,对测量的流量数据序列进行冗余小波变换,将分解后不同尺度的系数用于BP神经网络的输入来进行流量的在线短时预测。A framework of on-board router traffic rate telemetry and predicting was described. Traffic rate statistic was gathered through SNMP packet units. The traffic rate then was processed as a time series, which was wavelet transformed with redundant algorithm. The transformed detail coefficients and final smoothed signal then were put into the BP neural network to perform the m steps short time prediction. The prediction framework was simulated in constellation networks emulating environment.

关 键 词：冗余 小波变换 神经网络 流量预测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]