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Network tomography has been regarded as one of the most promising methodologies for performance evaluation and diagnosis of the massive and decentralized Internet. It can be used to infer unobservable network behaviors from directly measurable metrics and does not require cooperation between the network internal elements and the end users. For instance, the Internet users may estimate the link level characteristics such as loss and delay from end-to-end measurements, whereas the network operators can evaluate the Internet path-level traffic intensity based on link-level traffic measurements. In this paper, the authors present a novel estimation approach for the network tomography problem.
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