Title :
Statistical inference for internal link parameters in a network
Author :
Caceres, R. ; Duffield, N.G. ; Horowitz, J. ; LoPresti, F. ; Towsley, D.
Abstract :
In this paper we describe the use of end-to-end loss measurements of multicast traffic to infer the network-internal loss characteristics. For the case that the tree spanning a multicast source and its receivers is known, we present statistically rigorous techniques for estimating loss rates on the paths between branch points based on losses observed by multicast receivers. Last, we show how these techniques can also be used to identify the structure of the tree spanning a multicast source and its receivers
Keywords :
maximum likelihood estimation; multicast communication; network topology; statistical analysis; telecommunication traffic; trees (mathematics); branch points; end-to-end loss measurements; internal link parameters; loss rates; multicast receivers; multicast traffic; network; network-internal loss characteristics; receivers; statistical inference; statistically rigorous techniques; tree; H infinity control; Intelligent networks; Irrigation; Loss measurement; Maximum likelihood estimation; Probes; Routing; Stochastic processes; Telecommunication traffic; Topology;
Conference_Titel :
Information Theory and Communications Workshop, 1999. Proceedings of the 1999 IEEE
Conference_Location :
Kruger National Park
Print_ISBN :
0-7803-5268-8
DOI :
10.1109/ITCOM.1999.781388
