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Volume 23 Issue 4
Apr.  2001
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Liu Jiakun, Jin Zhigang, Xue Fei, Shu Yantai . Traffic Prediction and Its Application Using FARIMA Models[J]. Journal of Electronics & Information Technology, 2001, 23(4): 403-407.
Citation: Liu Jiakun, Jin Zhigang, Xue Fei, Shu Yantai . Traffic Prediction and Its Application Using FARIMA Models[J]. Journal of Electronics & Information Technology, 2001, 23(4): 403-407.

Traffic Prediction and Its Application Using FARIMA Models

  • Received Date: 1998-09-14
  • Rev Recd Date: 1999-06-26
  • Publish Date: 2001-04-19
  • Netvrork traffic prediction is important for netvrork control and bandwidth alloca-tion. This paper first introduces how to get optimal forecasting values, and provides prediction procedure for FARIMA models. And then provides a prediction method for self-similar traffic with compensation function and also gives out an example to demonstrate how to use this method in network control.
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  • W. Leland, et al., On the self-similar nature of Ethernet traffic (extended version), IEEE/ACM Trans. on Networking, 1994, 2(1), 1-15.[2]J. Beran, et al., Long-range dependence in variable bit rate video traffic, IEEE Trans. on Commun., 1995, COM-43(2/3/4), 1566-1579.[3]W. Willinger, et al., Self-similarity in high-speed packet traffic, Analysis and modeling of Ethernet traffic measurements, Statistical Science, 1995, 10(1), 67-85.[4]C.W.J. Granger, R. Joyeux, An introduction to long-memory time series models and fractional differencing, Journal of Time Series Analysis, 1980, 1(2), 159-169.[5]J.R.M. Hosking, Fractional differencing, Biometrika, 1981, 68(1), 165-176. [6]薛飞,自相似网络业务的建模分析与性能评价,博士论文,天津,天津大学,1998年, 6月.[6]G. Box, G. Jenkins, Time Series, Forecasting and Control, revised edn., San Francisco, Holdenday, 1976, Ch.5.
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