Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Stochastic modeling of non-cooperative peer-assisted VoD streaming in managed networks (Under review)
Research Areas
  • Internet access provider,
  • Transmission network,
  • Pay television,
  • Cable distribution
The growing popularity of the Video on Demand service in the Internet Protocol Television environments and the demand for increased quality of the offered videos are becoming a serious threat for the service providers because the high amounts of video traffic are causing congestion in the delivery networks. One of the most acceptable approaches to solve this issue is the peer-assisted streaming, where the peers participate in the streaming process in order to alleviate the load on the streaming servers and in the core of the network. Although the reliability of the Peer-to-Peer service is considerably improved in the managed networks because of the control that the operators have over the clients' Set-Top Boxes, the failures of the peers still cannot be completely eliminated. The operator can take advantage of the streaming and storage resources of the clients and use them for peer-assisted streaming only while they are watching a video, but not after they finish the streaming session because they may turn the devices off until the next session. In this paper, we address the issue of the failures of the peers and present a peer-assisted system for Video on Demand streaming in managed networks where the peers are non-cooperative, i.e., they decide not to share their resources while they are not active. Moreover, we propose a precise stochastic model that accurately presents the behavior of such a system taking into consideration large variety of parameters like the intensity of requests, the duration of the video sessions, the size of the network, the streaming and storage capacities of the peers, the size of the video library, the distribution scheme of the contents, the failure probability and the time the peers spend until they join the network. The results from the simulations verify the correctness of our model and, therefore, we use it as a tool that helps us to find out how some of these parameters are affecting the system's performance. We particularly focus our attention on the failures of the peers, aiming to find their influence on the traffic requested from the servers for providing uninterrupted video experience.
Computer Networks
Impact factor JCR
Impact info
Datos JCR del año 2011
Journal number
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  • Autor: Sasho Gramatikov . (UPM)
  • Autor: Fernando Jaureguizar Nuñez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Señales, Sistemas y Radiocomunicaciones
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)