Gwendal SIMON

Gwendal SIMON

Maître de Conférences, HDR
Dépt. Systèmes Réseaux, Cybersécurité et Droit du numérique

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Optimal Selection of Adaptive Streaming Representations


TONI Laura3, APARICIO PARDO Ramon1,2, PIRES Karine4,1,2, SIMON Gwendal1,2, BLANC Alberto1,2, FROSSARD Pascal3

Type de document

Article de revue avec comité de lecture


ACM transactions on multimedia computing, communications and applications (TOMCCAP), may 2015, vol. 11, n° 2, pp. Art. n°43




Adaptive streaming addresses the increasing and heterogeneous demand of multimedia content over the Internet by offering several encoded versions for each video sequence. Each version (or representation) is characterized by a resolution and a bit rate, and it is aimed at a specific set of users, like TV or mobile phone clients. While most existing works on adaptive streaming deal with effective playout-buffer control strategies on the client side, in this paper we take a providers' perspective and propose solutions to im- prove user satisfaction by optimizing the set of available representations. We formulate an integer linear program that maximizes users' average satisfaction, taking into account network dynamics, type of video content, and user population characteristics. The solution of the optimization is a set of encoding parameters corresponding to the representation set that maximizes user satisfaction. We evaluate this solution by simulating multiple adaptive streaming sessions characterized by realistic network statistics, showing that the proposed solution outperforms commonly used vendor recommendations, in terms of user satisfaction but also in terms of fairness and outage probability. The simulation results show that video content information as well as network constraints and users' statistics play a crucial role in selecting proper encoding parameters to provide fairness among users and to reduce network resource usage. We propose a few practical guidelines that can be used, in realistic settings, to choose the encoding parameters based on the user characteristics, the network capacity and the type of video content.


1 : RSM(TB) - Dépt. Réseaux, Sécurité et Multimédia (Institut Mines-Télécom-Télécom Bretagne-UEB)
2 : IRISA(TB) - Institut de recherche en informatique et systèmes aléatoires (UMR CNRS 6074 - Université de Rennes 1 - INRIA - INSA de Rennes - ENS de Cachan - Télécom Bretagne - Université de Bretagne Sud)
3 : EPFL - Ecole Polytechnique Fédérale de Lausanne (.)
4 : INFO(TB) - Dépt. Informatique (Institut Mines-Télécom-Télécom Bretagne-UEB)

Mots clés

Video encoding, Adaptive video, Content delivery



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