Optimal estimation of multicast membership

Sara Alouf 1 Eitan Altman 1 Chadi Barakat 2 Philippe Nain 1
2 PLANETE - Protocols and applications for the Internet
Inria Grenoble - Rhône-Alpes, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : This paper addresses optimal online estimation of the size of a multicast group. Three distinct approaches are used. The first one builds on Kalman filter theory to derive the MSE-optimal estimator in a heavy-traffic regime. Under more general assumptions, the second approach uses Wiener filter theory to compute the MSE-optimal linear filter. The third approach develops the best first-order linear filter from which an estimator that holds for any on-time distribution is derived. Our estimators are tested on real video traces and exhibit good performance. The paper also provides guidelines on how to tune the parameters involved in the schemes in order to achieve high-quality estimation while simultaneously avoiding feedback implosion.
Type de document :
Article dans une revue
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2003, Signal Processing in Networking, 51 (8), pp.2165-2176. 〈10.1109/TSP.2003.814461〉
Liste complète des métadonnées

https://hal.inria.fr/hal-00641256
Contributeur : Sara Alouf <>
Soumis le : mardi 15 novembre 2011 - 11:43:37
Dernière modification le : samedi 27 janvier 2018 - 01:31:22

Lien texte intégral

Identifiants

Collections

Relations

Citation

Sara Alouf, Eitan Altman, Chadi Barakat, Philippe Nain. Optimal estimation of multicast membership. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2003, Signal Processing in Networking, 51 (8), pp.2165-2176. 〈10.1109/TSP.2003.814461〉. 〈hal-00641256〉

Partager

Métriques

Consultations de la notice

111