Want to play DASH?: a game theoretic approach for adaptive streaming over HTTP
dc.contributor.author | Bentaleb, A. | |
dc.contributor.author | Beğen, Ali Cengiz | |
dc.contributor.author | Harous, S. | |
dc.contributor.author | Zimmermann, R. | |
dc.date.accessioned | 2020-05-01T11:42:23Z | |
dc.date.available | 2020-05-01T11:42:23Z | |
dc.date.issued | 2018-06-12 | |
dc.identifier.isbn | 978-1-4503-5192-8 | |
dc.identifier.uri | http://hdl.handle.net/10679/6549 | |
dc.identifier.uri | https://dl.acm.org/doi/abs/10.1145/3204949.3204961 | |
dc.description.abstract | In 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.sponsorship | National Natural Science Foundation of China ; National University of Singapore (Suzhou) Research Institute ; UAE University | |
dc.language.iso | eng | en_US |
dc.publisher | Association for Computing Machinery, Inc | en_US |
dc.relation.ispartof | MMSys '18: Proceedings of the 9th ACM Multimedia Systems Conference | |
dc.rights | restrictedAccess | |
dc.title | Want to play DASH?: a game theoretic approach for adaptive streaming over HTTP | en_US |
dc.type | Conference paper | en_US |
dc.description.version | Publisher version | |
dc.publicationstatus | Published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0002-0835-3017 & YÖK ID 217660) Beğen, Ali | |
dc.contributor.ozuauthor | Beğen, Ali Cengiz | |
dc.identifier.startpage | 13 | en_US |
dc.identifier.endpage | 26 | en_US |
dc.identifier.wos | WOS:000455343100002 | |
dc.identifier.doi | 10.1145/3204949.3204961 | en_US |
dc.subject.keywords | HTTP adaptive streaming | en_US |
dc.subject.keywords | DASH | en_US |
dc.subject.keywords | Game theory | en_US |
dc.subject.keywords | QoE optimization | en_US |
dc.subject.keywords | Consensus | en_US |
dc.subject.keywords | ABR scheme | en_US |
dc.subject.keywords | FastMPC | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85050653978 | |
dc.contributor.authorMale | 1 | |
dc.relation.publicationcategory | Conference Paper - International - Institutional Academic Staff |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |
This item appears in the following Collection(s)
Share this page