How much can large-scale Video-On-Demand benefit from users' cooperation?

Delia Ciullo (1) , Valentina Martina (2) , Michele Garetto (3) , Emilio Leonardi (2)

1 MAESTRO - Models for the performance analysis and the control of networks
2 DELEN - Department of Electronics [Torino]
3 UNITO - Università degli studi di Torino = University of Turin

We propose an analytical framework to tightly characterize the scaling laws for the additional bandwidth that servers must supply to guarantee perfect service in peer-assisted Video-on-Demand systems, taking into account essential aspects such as peer churn, bandwidth heterogeneity, and Zipf-like video popularity. Our results reveal that the catalog size and the content popularity distribution have a huge effect on the system performance. We show that users' cooperation can effectively reduce the servers' burden for a wide range of system parameters, confirming to be an attractive solution to limit the costs incurred by content providers as the system scales to large populations of users.

Mots clés: Performance analysis; Peer assisted Video-on-Demand systems; Stochastic models

Domaines: Réseaux et télécommunications [cs.NI]

Delia Ciullo, Valentina Martina, Michele Garetto, Emilio Leonardi. How much can large-scale Video-On-Demand benefit from users' cooperation?. IEEE INFOCOM - 32nd International Conference on Computer Communications, Apr 2013, Turin, Italy. pp.2724-2732, ⟨10.1109/INFCOM.2013.6567081⟩. ⟨hal-00758986⟩