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Linear discriminant analysis in network traffic modelling
Authors:Bing‐Yi Zhang  Ya‐Min Sun  Yu‐Lan Bian  Hong‐Ke Zhang
Abstract:It is difficult to give an accurate judgement of whether the traffic model fit the actual traffic. The traditional method is to compare the Hurst parameter, data histogram and autocorrelation function. The method of comparing Hurst parameter cannot give exact results and judgement. The method of comparing data histogram and autocorrelation only gives a qualitative judgement. Based on linear discriminant analysis we proposed a novel arithmetic. Utilizing this arithmetic we analysed some sets of data with large and little differences. We also analysed some sets of data generated by network simulator. The analysis result is accurate. Comparing with traditional method, this arithmetic is useful and can conveniently give an accurate judgement for complex network traffic trace. Copyright © 2005 John Wiley & Sons, Ltd.
Keywords:data packet network  network traffic modelling  linear discriminant analysis  fractional Alpha stable process
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