This paper discusses the effects of the network congestion on the goodness of a streaming video session and proposes a solution that the network itself can adopt to recover from the possible Quality of Experience degradation. We consider a Broadband Access Network scenario, where congestion is most likely to occur in current communication networks. In particular, we concentrate on the Asymmetric digital subscriber line (ADSL) technology, which is predominant in the last-mile link toward the user machine. The proposed solution is based on an on-line heuristic evaluation of the mismatch between the bandwidth requirements of the video and the throughput actually offered in the bottleneck link. When a possible Quality of Experience degradation is observed, our tool reacts by limiting the concurrent traffic. The YouTube application is used as a reference throughout the entire paper due to its wide popularity. Moreover, High Definition videos are mainly considered as they are the most bandwidth demanding and hence the most sensitive to network impairments.

In-Network Support For Over-The-Top Video Quality of Experience / Lucrezia, Francesco; Marchetto, Guido; Risso, FULVIO GIOVANNI OTTAVIO. - STAMPA. - (2014), pp. 72-78. (Intervento presentato al convegno International Conference on Advances in Future Internet (AFIN 2014) tenutosi a Lisbon, Portugal nel November 2014).

In-Network Support For Over-The-Top Video Quality of Experience

LUCREZIA, FRANCESCO;MARCHETTO, GUIDO;RISSO, FULVIO GIOVANNI OTTAVIO
2014

Abstract

This paper discusses the effects of the network congestion on the goodness of a streaming video session and proposes a solution that the network itself can adopt to recover from the possible Quality of Experience degradation. We consider a Broadband Access Network scenario, where congestion is most likely to occur in current communication networks. In particular, we concentrate on the Asymmetric digital subscriber line (ADSL) technology, which is predominant in the last-mile link toward the user machine. The proposed solution is based on an on-line heuristic evaluation of the mismatch between the bandwidth requirements of the video and the throughput actually offered in the bottleneck link. When a possible Quality of Experience degradation is observed, our tool reacts by limiting the concurrent traffic. The YouTube application is used as a reference throughout the entire paper due to its wide popularity. Moreover, High Definition videos are mainly considered as they are the most bandwidth demanding and hence the most sensitive to network impairments.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2583947
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