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Modeling time correlation in passive network loss tomography

10 years 5 months ago
Modeling time correlation in passive network loss tomography
—We consider the problem of inferring link loss rates using passive measurements. Prior inference approaches are mainly built on the time correlation nature of packet losses. However, passive inference generally has limited control over the measurement process, and it is a challenging issue to adapt loss rate inference to the impact of time correlation. We address this issue and propose a new loss model that expresses an inferred link loss rate as a function of time correlation. Under this loss model with time correlation, we show its identifiability, and propose a novel profile-likelihood-based inference approach that can accurately infer link loss rates for various complex topologies (e.g., trees with many leaf branches). We validate the accuracy of our inference approach with model and network simulations.
Jin Cao, Aiyou Chen, Patrick P. C. Lee
Added 19 Dec 2011
Updated 19 Dec 2011
Type Journal
Year 2011
Where DSN
Authors Jin Cao, Aiyou Chen, Patrick P. C. Lee
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