Publication:
Virtualized cloud video services

dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorBağcı, Kadir Tolga
dc.contributor.kuauthorŞahin, Kemal Emrecan
dc.contributor.kuauthorTekalp, Ahmet Murat
dc.contributor.kuauthorNacaklı, Selin
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T23:49:19Z
dc.date.issued2017
dc.description.abstractWe propose new architectures for collaborative video services using software defined networks (SDN) and cloud computing technologies. In the proposed architectures, the video service provider (VSP) is configured as a cloud service. The network service provider (NSP) employs SDN as a cloud service, consisting of a controller cloud and multiple edge network clouds. The proposed centralized and distributed collaborative cloud video services overcome quality of experience (QoE) fluctuations per flow and unfairness between multiple DASH clients employing TCP receive window adaptation over a network slice with reserved capacity as we show that quality of service (QoS) reservation alone is not sufficient to supply fair and steady QoE to all clients. In the centralized approach, the fair-share bitrate of each client is calculated by the traffic engineering module of the NSP, while in the distributed approach the clients collaborate with each other to calculate their own fair shares. Experimental results show that both collaboration architectures perform better than the competitive approach using standard TCP.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.doi10.1109/SIU.2017.7960240
dc.identifier.isbn9781-5090-6494-6
dc.identifier.scopus2-s2.0-85026293830
dc.identifier.urihttps://doi.org/10.1109/SIU.2017.7960240
dc.identifier.urihttps://hdl.handle.net/20.500.14288/14352
dc.identifier.wos413813100104
dc.keywordsCloud
dc.keywordsDASH
dc.keywordsQoE fairness
dc.keywordsQoS
dc.keywordsSDN
dc.keywordsTCP rate control
dc.language.isotur
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof2017 25th Signal Processing and Communications Applications Conference, SIU 2017
dc.subjectAcoustics
dc.subjectComputer Science
dc.subjectArtificial intelligence
dc.subjectElectrical electronic Engineering
dc.subjectTelecommunications
dc.titleVirtualized cloud video services
dc.title.alternativeYTAlarda eşten-eşe destekli video servis yönetimi
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorYılmaz, Selin
local.contributor.kuauthorŞahin, Kemal Emrecan
local.contributor.kuauthorBağcı, Kadir Tolga
local.contributor.kuauthorTekalp, Ahmet Murat
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Electrical and Electronics Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
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