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2004 International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN'04)   p. 288
Multicast-Based Inference of Network-Internal Loss Performance
Hui Tian, Japan Advanced Institute of Science and Technology
Hong Shen, Japan Advanced Institute of Science and Technology

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISPAN.2004.1300494
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Abstract
The use of multicast traffic as measurement probes is efficient and effective to infer network-internal characteristics. We propose a new statistical approach to infer network internal link loss performance from end-to-end measurements. Incorporating with the procedure of topology inference, we present an inference algorithm that can infer loss rates of individual links in the network when it infers the network topology. It is proved that the loss rate inferred by our approach is consistent with the real loss rate as the number of probe packets tends to infinity. The approach is also extended to general trees case for loss performance inference. Loss rate-based scheme on topology inference is built in view of correct convergence to the true topology for general trees.
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Citation:  Hui Tian, Hong Shen, "Multicast-Based Inference of Network-Internal Loss Performance," ispan, p. 288,  2004 International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN'04),  2004