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Network tomography has been widely used recently as an method to infer the network internal link-level characteristics by end-to-end measurement. In this paper, the authors consider the problem of estimating link loss rates using network tomography. The existing methods make the inference based on the whole tree of network, which is very complex for large scale network. To overcome this limitation, they propose a low complexity inference approach named LCIA. In the LCIA, they deploy monitors at internal nodes to reduce the complexity of inferring the link loss rates.
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