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dc.contributor.authorBentaleb, A.
dc.contributor.authorBeğen, Ali Cengiz
dc.contributor.authorZimmermann, R.
dc.contributor.authorHarous, S.
dc.date.accessioned2017-10-25T06:58:03Z
dc.date.available2017-10-25T06:58:03Z
dc.date.issued2017-10
dc.identifier.issn1520-9210en_US
dc.identifier.urihttp://hdl.handle.net/10679/5692
dc.identifier.urihttp://ieeexplore.ieee.org/document/7995089/
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractHTTP adaptive streaming (HAS) is receiving much attention from both industry and academia as it has become the de facto approach to stream media content over the Internet. Recently, we proposed a streaming architecture called SDNDASH [1] to address HAS scalability issues including video instability, quality of experience (QoE) unfairness, and network resource underutilization, while maximizing per player QoE. While SDNDASH was a significant step forward, there were three unresolved limitations: 1) it did not scale well when the number of HAS players increased; 2) it generated communication overhead; and 3) it did not address client heterogeneity. These limitations could result in suboptimal decisions that led to viewer dissatisfaction. To that effect, we propose an enhanced intelligent streaming architecture, called SDNHAS, which leverages software defined networking (SDN) capabilities of assisting HAS players in making better adaptation decisions. This architecture accommodates large-scale deployments through a cluster-based mechanism, reduces communication overhead between the HAS players and SDN core, and allocates the network resources effectively in the presence of short- and long-term changes in the network.en_US
dc.description.sponsorshipNational Natural Science Foundation of China; National University of Singapore (Suzhou) Research Institute; Turk Telekomunikasyon A.S.
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions on Multimedia
dc.rightsrestrictedAccess
dc.titleSDNHAS: An SDN-Enabled architecture to optimize qoe in http adaptive streamingen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
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.volume19en_US
dc.identifier.issue10en_US
dc.identifier.startpage2136en_US
dc.identifier.endpage2151en_US
dc.identifier.wosWOS:000411247600002
dc.identifier.doi10.1109/TMM.2017.2733344en_US
dc.subject.keywordsBitrate adaptation logicen_US
dc.subject.keywordsConvex optimizationen_US
dc.subject.keywordsDASHen_US
dc.subject.keywordsfastMPCen_US
dc.subject.keywordsHTTP adaptive streaming (HAS)en_US
dc.subject.keywordsInstabilityen_US
dc.subject.keywordsOpenFlowen_US
dc.subject.keywordsQuality of experience (QoE)en_US
dc.subject.keywordsReinforcement learningen_US
dc.subject.keywordsScalabilityen_US
dc.subject.keywordsSoftware defined networking (SDN)en_US
dc.subject.keywordsStreaming architectureen_US
dc.subject.keywordsUnfairnessen_US
dc.subject.keywordsUnderutilizationen_US
dc.identifier.scopusSCOPUS:2-s2.0-85029151389
dc.contributor.authorMale1


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