Linear discriminant analysis in network traffic modeling

It was not easy to give an accurate judgment of whether the traffic model fitting the actual traffic. The common method was to compare the Hurst parameter, data histogram and autocorrelation function. The method of comparing Hurst parameter could’t give exact results and judgment. The method of comp...

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Main Authors: ZHANG Bing-yi, BIAN Yu-lan, ZHANG Hong-ke, SUN Ya-min
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2005-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74665896/
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author ZHANG Bing-yi
BIAN Yu-lan
ZHANG Hong-ke
SUN Ya-min
author_facet ZHANG Bing-yi
BIAN Yu-lan
ZHANG Hong-ke
SUN Ya-min
author_sort ZHANG Bing-yi
collection DOAJ
description It was not easy to give an accurate judgment of whether the traffic model fitting the actual traffic. The common method was to compare the Hurst parameter, data histogram and autocorrelation function. The method of comparing Hurst parameter could’t give exact results and judgment. The method of comparing data histogram and autocorrelation could only give a qualitative judgment. Based on linear discriminant analysis a arithmetic was proposed. Utilizing this arithmetic the data in the sets of different traffic model and in NS was analyzed. The results are accurate. Compared with traditional method this arithmetic is useful and can conveniently give an accurate judgment for complex network traffic trace.
format Article
id doaj-art-49e487407b2f47449dcccb50650955c7
institution OA Journals
issn 1000-436X
language zho
publishDate 2005-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-49e487407b2f47449dcccb50650955c72025-08-20T02:34:09ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2005-01-0174665896Linear discriminant analysis in network traffic modelingZHANG Bing-yiBIAN Yu-lanZHANG Hong-keSUN Ya-minIt was not easy to give an accurate judgment of whether the traffic model fitting the actual traffic. The common method was to compare the Hurst parameter, data histogram and autocorrelation function. The method of comparing Hurst parameter could’t give exact results and judgment. The method of comparing data histogram and autocorrelation could only give a qualitative judgment. Based on linear discriminant analysis a arithmetic was proposed. Utilizing this arithmetic the data in the sets of different traffic model and in NS was analyzed. The results are accurate. Compared with traditional method this arithmetic is useful and can conveniently give an accurate judgment for complex network traffic trace.http://www.joconline.com.cn/zh/article/74665896/data packet networknetwork traffic modelinglinear discriminant analysisfractional Alpha stable process
spellingShingle ZHANG Bing-yi
BIAN Yu-lan
ZHANG Hong-ke
SUN Ya-min
Linear discriminant analysis in network traffic modeling
Tongxin xuebao
data packet network
network traffic modeling
linear discriminant analysis
fractional Alpha stable process
title Linear discriminant analysis in network traffic modeling
title_full Linear discriminant analysis in network traffic modeling
title_fullStr Linear discriminant analysis in network traffic modeling
title_full_unstemmed Linear discriminant analysis in network traffic modeling
title_short Linear discriminant analysis in network traffic modeling
title_sort linear discriminant analysis in network traffic modeling
topic data packet network
network traffic modeling
linear discriminant analysis
fractional Alpha stable process
url http://www.joconline.com.cn/zh/article/74665896/
work_keys_str_mv AT zhangbingyi lineardiscriminantanalysisinnetworktrafficmodeling
AT bianyulan lineardiscriminantanalysisinnetworktrafficmodeling
AT zhanghongke lineardiscriminantanalysisinnetworktrafficmodeling
AT sunyamin lineardiscriminantanalysisinnetworktrafficmodeling