Asymptotic properties of sequential streaming leveraging users' cooperation

Abstract : We consider a communication system in which a given digital content has to be delivered sequentially at constant rate to a set of users who asynchronously request it according to a Poisson process. Users can retrieve data: i) from one or more sources that statically store the entire content; ii) from users who have previously requested the content, and contribute (for limited time) a random amount of upload bandwidth to the system. We propose a stochastic fluid framework that allows characterizing the aggregate streaming rate necessary at the sources to satisfy all active requests. In particular, we establish the conditions under which the system becomes asymptotically scalable as the number of users grows. Our theoretical results apply to increasingly popular Video-on-Demand systems exploiting users' cooperation.
Type de document :
Rapport
[Research Report] RR-8183, INRIA. 2012
Liste complète des métadonnées

Littérature citée [9 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00759012
Contributeur : Delia Ciullo <>
Soumis le : lundi 17 décembre 2012 - 15:00:13
Dernière modification le : samedi 27 janvier 2018 - 01:31:44
Document(s) archivé(s) le : lundi 18 mars 2013 - 02:45:09

Fichier

RR-8183.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00759012, version 1

Collections

Citation

Delia Ciullo, Valentina Martina, Michele Garetto, Emilio Leonardi, Giovanni Luca Torrisi. Asymptotic properties of sequential streaming leveraging users' cooperation. [Research Report] RR-8183, INRIA. 2012. 〈hal-00759012〉

Partager

Métriques

Consultations de la notice

203

Téléchargements de fichiers

212