RO OF A bottom - up inference of loss rate

Abstract

Loss tomography, as a key component of network tomography, aims to obtain the loss rate of each link in a network by end-to-end measurements. If knowing the loss model of a link, we, in fact, deal with a parametric estimate problem with incomplete data. Maximum likelihood estimates are often used in this situation to identify the unknown parameters in the… (More)

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Cite this paper

@inproceedings{Geng2004ROOA, title={RO OF A bottom - up inference of loss rate}, author={Zhi Geng}, year={2004} }