计算机应用研究2012，Vol.29Issue(8)：3134-3136,3.DOI:10.3969/j.issn.1001-3695.2012.08.087
基于小波分解的网络流量时间序列建模与预测
Modeling and forecasting for network traffic based on wavelet decomposition
张晗 1王霞1
作者信息
- 1. 吉林大学计算机科学与技术学院,长春130012
- 折叠
摘要
Abstract
This paper proposed a network traffic forecasting methods based on wavelet decomposition and time series analysis method. Firstly,the method decomposed the network traffic time series in multiple stationary components by wavelet decomposition, then used the autoregressive moving average method to model the each stationary component separately. Finally combined all the components of the model to get the forecasting model of the original non-stationary network traffic time series. It carried out the simulation experiment on time series data of the network library. The simulation results show that, the proposed method improves the network traffic time series forecasting accuracy rate, and it is an efficient, robust network traffic forecasting method.关键词
网络流量/小波分解/时间序列/预测Key words
network traffic/wavelet decomposition/time series/forecasting分类
信息技术与安全科学引用本文复制引用
张晗,王霞..基于小波分解的网络流量时间序列建模与预测[J].计算机应用研究,2012,29(8):3134-3136,3.
