Origin-destination network tomography with Bayesian inversion approach | |
Zhang,JZ ; Zhang JZ(张建中) | |
2006 | |
关键词 | LINK DATA |
英文摘要 | Conference Name:IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006). Conference Address: Hong Kong, PEOPLES R CHINA. Time:DEC 18-22, 2006.; Origin-destination (OD) network tomography problem is the estimation of OD traffic counts from measurable traffic counts at router interfaces. In this paper the problem is formulated as a linear inverse problem with additive noise and is resolved using Bayesian inversion approach. Both OD traffic counts and noise are modelled as Gaussian random functions, and are represented by Karhunen-Loeve expansion, respectively. The posterior random function of OD traffic counts given the link counts is also represented as the Karhunen-Loeve expansion. With the singular system of routing matrix, we thus can found the optimal estimator of OD traffic counts analytically. |
语种 | 英语 |
出处 | http://dx.doi.org/10.1109/WI.2006.126 |
出版者 | IEEE COMPUTER SOC |
内容类型 | 其他 |
源URL | [http://dspace.xmu.edu.cn/handle/2288/87099] |
专题 | 信息技术-会议论文 |
推荐引用方式 GB/T 7714 | Zhang,JZ,Zhang JZ. Origin-destination network tomography with Bayesian inversion approach. 2006-01-01. |
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