Network traffic analysis and forecasting model based on mapping matrix

Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (8): 100-104.

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Network traffic analysis and forecasting model based on mapping matrix

HE Xiangchun1，2, DONG Xiaohui1，2

1.College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China
2.Gansu IOT Research Center, Lanzhou 730070, China

Online:2013-04-15 Published:2013-04-15

基于映射矩阵的网络流量分析预测模型

贺相春1，2，董晓辉1，2

1.西北师范大学计算机科学与工程学院，兰州 730070
2.甘肃省物联网工程研究中心，兰州 730070

Abstract

Abstract: By analyzing user behavior, this paper finds that the IP data stream has smooth and self-correlation characteristics, proposes a prediction model based on the mapping matrix flow in comparison with the linear AR, RIMA models and nonlinear BP model based on feedback neural network, Elman neural network. The test results demonstrate that the mapping matrix model has high prediction accuracy and fast convergence characteristics compared with existing models.

Key words: mapping matrix, prediction model, network traffic, user behavior

摘要： 通过对用户行为分析，发现IP数据流具有平稳性、自相关性等特点，提出基于映射矩阵流量预测模型，并与线性模型AR、ARIMA和非线性基于反馈神经网络BP模型、Elman神经网络作对比，试验结果证明，映射矩阵模型，比现有模型具有预测精度高、收敛快等特点。

关键词: 映射矩阵, 预测模型, 网络流量, 用户行为

HE Xiangchun1，2, DONG Xiaohui1，2. Network traffic analysis and forecasting model based on mapping matrix[J]. Computer Engineering and Applications, 2013, 49(8): 100-104.

贺相春1，2，董晓辉1，2. 基于映射矩阵的网络流量分析预测模型[J]. 计算机工程与应用, 2013, 49(8): 100-104.

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Network traffic analysis and forecasting model based on mapping matrix

基于映射矩阵的网络流量分析预测模型

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