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dc.contributor.authorBentaleb, A.
dc.contributor.authorBeğen, Ali Cengiz
dc.contributor.authorZimmermann, R.
dc.date.accessioned2017-01-27T07:19:27Z
dc.date.available2017-01-27T07:19:27Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10679/4739
dc.identifier.urihttp://dl.acm.org/citation.cfm?id=2964332
dc.description.abstractHTTP adaptive streaming (HAS) is being adopted with increasing frequency and becoming the de-facto standard for video streaming. However, the client-driven, on-off adaptation behavior of HAS results in uneven bandwidth competition and this is exacerbated when a large number of clients share the same bottleneck network link and compete for the available bandwidth. With HAS each client independently strives to maximize its individual share of the available bandwidth, which leads to bandwidth competition and a decrease in end-user quality of experience (QoE). The competition causes scalability issues, which are quality instability, unfair bandwidth sharing and network resource underutilization. We propose a new software defined networking (SDN) based dynamic resource allocation and management architecture for HAS systems, which aims to alleviate these scalability issues and improve the per-client QoE. Our architecture manages and allocates the network resources dynamically for each client based on its expected QoE. Experimental results show that the proposed architecture significantly enhances scalability by improving per-client QoE by at least 30% and supporting up to 80% more clients with the same QoE compared to the conventional schemes.en_US
dc.description.sponsorshipSingapore’s Ministry of Education
dc.language.isoengen_US
dc.publisherACMen_US
dc.relation.ispartofMM '16 Proceedings of the 2016 ACM on Multimedia Conferenceen_US
dc.rightsrestrictedAccess
dc.titleSDNDASH: Improving QoE of HTTP Adaptive Streaming Using Software Defined Networkingen_US
dc.typeConference paperen_US
dc.peerreviewedyes
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.startpage1296en_US
dc.identifier.endpage1305en_US
dc.identifier.wosWOS:000387733800111
dc.identifier.doi10.1145/2964284.2964332en_US
dc.subject.keywordsQoEen_US
dc.subject.keywordsDASHen_US
dc.subject.keywordsBitrate adaptation logicen_US
dc.subject.keywordsScalability issuesen_US
dc.subject.keywordsSDNen_US
dc.subject.keywordsOpenFlowen_US
dc.subject.keywordsConvex optimizationen_US
dc.subject.keywordsMPCen_US
dc.identifier.scopusSCOPUS:2-s2.0-84994577140
dc.contributor.authorMale1
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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