Research on Network Traffic Prediction based on Wavelet Transform and Combination model

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外文摘要：for the multi-scale characteristic of network traffic， a prediction algorithm based on wavelet transform and Combination model is introduced in this paper。 The complex correlation structure of the network history traffic is exploited with wavelet method 。For the traffic series under different time scale， self-similarity is analyzed and different prediction model is selected for predicting。 The result series is reconstructed with wavelet method。 Simulation results show that the combination method can achieve higher prediction accuracy rather than single prediction model。

外文关键词：

Network TrafficWaveletCombination model

作者：

Yongtao Wei、Jinkuan Wang、Cuirong Wang、Ling Cai

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作者单位：

School of Information Science and Engineering Northeastern University Shenyang China

Department of EE Northeastern University at Qinhuangdao Qinhuangdao China

会议名称：

International conference on intelligent information technology application;IITA2010

会议地点：

Qinhuangdao(CN);Qinhuangdao(CN)

会议母体文献：

2010 4th International conference on intelligent information technology application.;vol. 3.

页码：

p.120-123

出版时间：

2010