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: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2005-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74665896/ |
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| _version_ | 1850125292893372416 |
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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 |