Statistical inference for internal link parameters in a network

Author

Caceres, R. ; Duffield, N.G. ; Horowitz, J. ; LoPresti, F. ; Towsley, D.

fYear

1999

fDate

1999

Firstpage

2

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory and Communications Workshop, 1999. Proceedings of the 1999 IEEE

Conference_Location

Kruger National Park

Print_ISBN

0-7803-5268-8

Type

conf

DOI

10.1109/ITCOM.1999.781388

Filename

781388