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dc.contributor.authorBentaleb, A.
dc.contributor.authorBeğen, Ali Cengiz
dc.contributor.authorHarous, S.
dc.contributor.authorZimmermann, R.
dc.date.accessioned2020-05-01T11:42:23Z
dc.date.available2020-05-01T11:42:23Z
dc.date.issued2018-06-12
dc.identifier.isbn978-1-4503-5192-8
dc.identifier.urihttp://hdl.handle.net/10679/6549
dc.identifier.urihttps://dl.acm.org/doi/abs/10.1145/3204949.3204961
dc.description.abstractIn streaming media, it is imperative to deliver a good viewer experience to preserve customer loyalty. Prior research has shown that this is rather difficult when shared Internet resources struggle to meet the demand from streaming clients that are largely designed to behave in their own self-interest. To date, several schemes for adaptive streaming have been proposed to address this challenge with varying success. In this paper, we take a different approach and develop a game theoretic approach. We present a practical implementation integrated in the dash.js reference player and provide substantial comparisons against the state-of-the-art methods using trace-driven and real-world experiments. Our approach outperforms its competitors in the average viewer experience by 38.5% and in video stability by 62%.en_US
dc.description.sponsorshipNational Natural Science Foundation of China ; National University of Singapore (Suzhou) Research Institute ; UAE University
dc.language.isoengen_US
dc.publisherAssociation for Computing Machinery, Incen_US
dc.relation.ispartofMMSys '18: Proceedings of the 9th ACM Multimedia Systems Conference
dc.rightsopenAccess
dc.titleWant to play DASH?: a game theoretic approach for adaptive streaming over HTTPen_US
dc.typeConference paperen_US
dc.description.versionPublisher version
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-0835-3017 & YÖK ID 217660) Beğen, Ali
dc.contributor.ozuauthorBeğen, Ali Cengiz
dc.identifier.startpage13en_US
dc.identifier.endpage26en_US
dc.identifier.wosWOS:000455343100002
dc.identifier.doi10.1145/3204949.3204961en_US
dc.subject.keywordsHTTP adaptive streamingen_US
dc.subject.keywordsDASHen_US
dc.subject.keywordsGame theoryen_US
dc.subject.keywordsQoE optimizationen_US
dc.subject.keywordsConsensusen_US
dc.subject.keywordsABR schemeen_US
dc.subject.keywordsFastMPCen_US
dc.identifier.scopusSCOPUS:2-s2.0-85050653978
dc.contributor.authorMale1
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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