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Optimal Selection of Adaptive Streaming Representations

Optimal Selection of Adaptive Streaming Representations Optimal Selection of Adaptive Streaming Representations ´ LAURA TONI, Ecole Polytechnique F´ d´ rale de Lausanne (EPFL) e e RAMON APARICIO-PARDO, KARINE PIRES, GWENDAL SIMON, and ALBERTO BLANC, Telecom Bretagne ´ PASCAL FROSSARD, Ecole Polytechnique F´ d´ rale de Lausanne (EPFL) e e 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 article we take a providers' perspective and propose solutions to improve 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 representations 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) Association for Computing Machinery

Optimal Selection of Adaptive Streaming Representations

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2015 by ACM Inc.
ISSN
1551-6857
DOI
10.1145/2700294
Publisher site
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Abstract

Optimal Selection of Adaptive Streaming Representations ´ LAURA TONI, Ecole Polytechnique F´ d´ rale de Lausanne (EPFL) e e RAMON APARICIO-PARDO, KARINE PIRES, GWENDAL SIMON, and ALBERTO BLANC, Telecom Bretagne ´ PASCAL FROSSARD, Ecole Polytechnique F´ d´ rale de Lausanne (EPFL) e e 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 article we take a providers' perspective and propose solutions to improve 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 representations 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

Journal

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) – Association for Computing Machinery

Published: Feb 24, 2015

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