Modeling time correlation in passive network loss tomography | IEEE Conference Publication | IEEE Xplore

Modeling time correlation in passive network loss tomography


Abstract:

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 loss...Show More

Abstract:

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.
Date of Conference: 27-30 June 2011
Date Added to IEEE Xplore: 18 July 2011
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Conference Location: Hong Kong, China

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