Linear discriminant analysis in network traffic modelling

Bing-Yi Zhang; Ya-Min Sun; Yu-Lan Bian; Hong-Ke Zhang

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Linear discriminant analysis in network traffic modelling

机译：网络流量建模中的线性判别分析

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摘要

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.

机译：很难准确判断流量模型是否适合实际流量。传统方法是比较Hurst参数，数据直方图和自相关函数。比较赫斯特参数的方法不能给出准确的结果和判断。比较数据直方图和自相关的方法仅给出定性判断。基于线性判别分析，我们提出了一种新颖的算法。利用这种算法，我们分析了一些数据集，这些数据集之间的差异很大。我们还分析了网络模拟器生成的一些数据集。分析结果准确。与传统方法相比，该算法非常有用，可以方便地对复杂的网络流量跟踪进行准确的判断。

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来源
《International journal of communication systems》 |2006年第1期|p.53-65|共13页
作者
Bing-Yi Zhang; Ya-Min Sun; Yu-Lan Bian; Hong-Ke Zhang;
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作者单位

College of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类无线电电子学、电信技术;
关键词
data packet network; network traffic modelling; linear discriminant analysis; fractional alpha stable process;

机译：数据包网络;网络流量建模;线性判别分析;分数阶α稳定过程;

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Linear discriminant analysis in network traffic modelling

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