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Adaptive Loss Inference Using Unicast End-to-End Measurements
Mathematical Problems in Engineering
We address the problem of inferring link loss rates from unicast end-to-end measurements on the basis of network tomography. Because measurement probes will incur additional traffic overheads, most tomography-based approaches perform the inference by collecting the measurements only on selected paths to reduce the overhead. However, all previous approaches select paths offline, which will inevitably miss many potential identifiable links, whose loss rates should be unbiasedly determined.doi:10.1155/2016/1863929 fatcat:ajqs76ghcrgxjcgvlr4rliyosq