000199541 001__ 199541
000199541 005__ 20181203023516.0
000199541 0247_ $$2doi$$a10.1145/2700294
000199541 022__ $$a1551-6857
000199541 02470 $$2ISI$$a000350567000003
000199541 037__ $$aARTICLE
000199541 245__ $$aOptimal Selection of Adaptive Streaming Representations
000199541 269__ $$a2015
000199541 260__ $$aNew York$$bAssociation for Computing Machinery$$c2015
000199541 300__ $$a26
000199541 336__ $$aJournal Articles
000199541 500__ $$aSOFTWARE AVAILABLE at http://dash.ipv6.enstb.fr/dataset/ilp-video-rep-abr/
000199541 520__ $$aAdaptive streaming addresses the increasing and heterogenous demand of multimedia content over the Internet by offering several encoded versions for each video sequence. Each version (or representation) has a different resolution and bit rate, aimed at a specific set of users, like TV or mobile phone clients. While most existing works on adaptive streaming deal with effective playout-control strategies at the client side, we take in this paper a providers’ perspective and propose solutions to improve user satisfaction by optimizing the encoding rates of the video sequences. We formulate an integer linear program that maximizes users’ average satisfaction, taking into account the network dynamics, the video content information, and the user population characteristics. The solution of the optimization is a set of encoding parameters that permit to create different streams to robustly satisfy users’ requests over time. We simulate multiple adaptive streaming sessions characterized by realistic network connections models, where the proposed solution outperforms commonly used vendor recommendations, in terms of user satisfaction but also in terms of fairness and outage probability. The simulation results further show that video content information as well as network constraints and users’ statistics play a crucial role in selecting proper encoding parameters to provide fairness a mong users and to reduce network resource usage. We finally propose a few practical guidelines that can be used to choose the encoding parameters based on the user base characteristics, the network capacity and the type of video content.
000199541 6531_ $$aDynamic adaptive streaming over HTTP
000199541 6531_ $$acontent distribution
000199541 6531_ $$avideo streaming
000199541 6531_ $$ainteger linear program
000199541 700__ $$0246986$$aToni, Laura$$g229538
000199541 700__ $$aAparicio-Pardo, Ramon
000199541 700__ $$aPires, Karine
000199541 700__ $$aSimon, Gwendal
000199541 700__ $$aBlanc, Alberto
000199541 700__ $$0241061$$aFrossard, Pascal$$g101475
000199541 773__ $$j11$$k2$$tACM Transactions on Multimedia Computing, Communications and Applications
000199541 8564_ $$uhttp://arxiv.org/abs/1406.3161$$zURL
000199541 8564_ $$uhttp://dash.ipv6.enstb.fr/dataset/ilp-video-rep-abr/$$zURL
000199541 8564_ $$s1099510$$uhttps://infoscience.epfl.ch/record/199541/files/a43-toni.pdf$$yn/a$$zn/a
000199541 909C0 $$0252393$$pLTS4$$xU10851
000199541 909CO $$ooai:infoscience.tind.io:199541$$pSTI$$pGLOBAL_SET$$particle
000199541 917Z8 $$x229538
000199541 917Z8 $$x229538
000199541 917Z8 $$x229538
000199541 917Z8 $$x229538
000199541 917Z8 $$x229538
000199541 917Z8 $$x229538
000199541 917Z8 $$x101475
000199541 917Z8 $$x229538
000199541 917Z8 $$x229538
000199541 917Z8 $$x229538
000199541 937__ $$aEPFL-ARTICLE-199541
000199541 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000199541 980__ $$aARTICLE