An Accurate Approach of Large-Scale IP Traffic Matrix Estimation(Network)
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概要
- 論文の詳細を見る
This letter proposes a novel method of large-scale IP traffic matrix estimation which is based on Partial Flow Measurement and Fratar Model (PFMFM). Firstly, we model OD flows as Fratar model and introduce the constrained relations between traffic matrix and link loads. By combining partial flow measurement, we can get a good prior value of network tomography. Then a good estimation of traffic matrix is attained with the modified network tomography method. Finally, we use the real data from network Abilene to validate our method. In contrast to TomoGravity, the results show that our method improves remarkably and the estimation of traffic matrix is closer to real data, and especially when the flow is small and changes dramatically, the estimation is better.
- 社団法人電子情報通信学会の論文
- 2007-12-01
著者
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Chen Jun
Department of Urology, National Taiwan University Hospital
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Chen Jun
Department Of Earth Sciences Nanjing University
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Chen Jun
Department Of Network Engineering Chengdu University Of Information Technology
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JIANG Dingde
Key Lab of Broadband Optical Fiber Transmission and Communication Networks, University of Electronic
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HE Linbo
Department of Network Engineering, ChengDu University of Information Technology
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He Linbo
Department Of Network Engineering Chengdu University Of Information Technology
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Jiang Dingde
Univ. Elecironic Sci. And Technol. Of China Sichuan Chn
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Jiang Dingde
Key Lab Of Broadband Optical Fiber Transmission And Communication Networks University Of Electronic
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Chen Jun
Department Of Biomedical Engineering Division Of Orthopaedic Surgery Department Of Surgery Duke University
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