Stochastic burstiness boundary analysis of LFSN-based self-similar network traffic model
A stochastic burstiness boundary of general LFSN（linear fractional stable noise）-based traffic model,which is an important model that has been proven capable to capture both properties of self-similar and heavy tailed,was derived.The final result is much more general than the current one,especially...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2010-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74648453/ |
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| _version_ | 1841537754250346496 |
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| author | YU Li BAI Yun ZHU Guang-xi |
| author_facet | YU Li BAI Yun ZHU Guang-xi |
| author_sort | YU Li |
| collection | DOAJ |
| description | A stochastic burstiness boundary of general LFSN（linear fractional stable noise）-based traffic model,which is an important model that has been proven capable to capture both properties of self-similar and heavy tailed,was derived.The final result is much more general than the current one,especially for the upper boundary which is also more accurate.Meanwhile,a unique experiment based on fast simulation of general LFSN process was set up to get an estimation result for actual distribution,which in turn proved theoretical derivation correct. |
| format | Article |
| id | doaj-art-e62ad1c42dfa4d01a5483085e0234b13 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2010-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-e62ad1c42dfa4d01a5483085e0234b132025-01-14T08:25:49ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2010-01-0131162174648453Stochastic burstiness boundary analysis of LFSN-based self-similar network traffic modelYU LiBAI YunZHU Guang-xiA stochastic burstiness boundary of general LFSN（linear fractional stable noise）-based traffic model,which is an important model that has been proven capable to capture both properties of self-similar and heavy tailed,was derived.The final result is much more general than the current one,especially for the upper boundary which is also more accurate.Meanwhile,a unique experiment based on fast simulation of general LFSN process was set up to get an estimation result for actual distribution,which in turn proved theoretical derivation correct.http://www.joconline.com.cn/zh/article/74648453/stochastic burstiness boundaryself-similarstochastic network calculusperformance analysislinear fractional stable noise |
| spellingShingle | YU Li BAI Yun ZHU Guang-xi Stochastic burstiness boundary analysis of LFSN-based self-similar network traffic model Tongxin xuebao stochastic burstiness boundary self-similar stochastic network calculus performance analysis linear fractional stable noise |
| title | Stochastic burstiness boundary analysis of LFSN-based self-similar network traffic model |
| title_full | Stochastic burstiness boundary analysis of LFSN-based self-similar network traffic model |
| title_fullStr | Stochastic burstiness boundary analysis of LFSN-based self-similar network traffic model |
| title_full_unstemmed | Stochastic burstiness boundary analysis of LFSN-based self-similar network traffic model |
| title_short | Stochastic burstiness boundary analysis of LFSN-based self-similar network traffic model |
| title_sort | stochastic burstiness boundary analysis of lfsn based self similar network traffic model |
| topic | stochastic burstiness boundary self-similar stochastic network calculus performance analysis linear fractional stable noise |
| url | http://www.joconline.com.cn/zh/article/74648453/ |
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