Statistical inference of internal network loss and topology

  • Authors:

  • R. Cáceres;N. G. Duffield;J. Horowitz;F. Lo Presti;D. Towsley

  • Affiliations:

  • AT&T Labs-Research, 180 Park Avenue, Florham Park, NJ;AT&T Labs-Research, 180 Park Avenue, Florham Park, NJ;Department of Mathematics & Statistics, University of Massachusetts, Amherst, MA;AT&T Labs-Research, 180 Park Avenue, Florham Park, NJ;Department of Computer Science, University of Massachusetts, Amherst, MA

  • Venue:
  • ACM SIGMETRICS Performance Evaluation Review
  • Year:
  • 1999

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Abstract

The use of inference from end-to-end multicast measurements has recently been proposed to find the internal characteristics in a network. Here we describe statistically rigorous methods for inferring link loss rates, and their application to identifying the underlying multicast topology.