ENBIS: European Network for Business and Industrial Statistics

Fast Semiparametric Models for Active Network Tomography

Abstract

Submitted by

David Steinberg

Authors

George Michailidis

Affiliation

The University of Michigan

Abstract

In this talk we discuss
the problem of active network tomography in which probe traffic is injected across a network.
The end-to-end statistics are collected and used to infer the link-level statistics. We consider the use
of simple, yet flexible continuous models that are appropriate for monitoring scenarios and are an
improvement over previously consider discretized delay models. In addition, we develop a moment
estimation scheme that allows for fast, computationally
efficient implementation with the goal of monitoring. The performance of the
proposed methodology is exhibited on a number of simulated and emulated network scenarios

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