Publication:
Queue-allocation optimization for adaptive video streaming over software defined networks with multiple service-levels

dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.facultymemberYes
dc.contributor.kuauthorBağcı, Kadir Tolga
dc.contributor.kuauthorŞahin, Kemal Emrecan
dc.contributor.kuauthorTekalp, Ahmet Murat
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T23:21:32Z
dc.date.issued2016
dc.description.abstractInternet service providers (ISP) are deploying software defined networking (SDN), which enables them to better utilize their resources and increase their revenues by offering on-demand differentiated services. In particular, SDN makes provisioning of dynamically managed video services with multiple levels of service viable, since the controller has complete vision of network resources and can change flow paths dynamically by continuously optimizing routes for each flow according to network state. This paper proposes a new method for flow-path computation by queue allocation with the objective of maximizing ISP revenues under per-flow service-level constraints. We formulate the optimization problem and implement its solution in the path computation unit of an SDN controller. Our experiments support that customers requesting improved quality video service receive significantly better QoE compared to best effort services to justify their paying extra for these services.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipThe Institute of Electrical and Electronics Engineers Signal Processing Society
dc.description.studentonlypublicationNo
dc.description.studentpublicationYes
dc.description.versionN/A
dc.identifier.doi10.1109/ICIP.2016.7532612
dc.identifier.embargoN/A
dc.identifier.isbn9781467399616
dc.identifier.issn1522-4880
dc.identifier.quartileBakılacak
dc.identifier.scopus2-s2.0-85006760189
dc.identifier.urihttps://doi.org/10.1109/ICIP.2016.7532612
dc.identifier.urihttps://hdl.handle.net/20.500.14288/10901
dc.identifier.volume2016-August
dc.keywordsPath computation optimization
dc.keywordsQuality of service
dc.keywordsQueue allocation
dc.keywordsSDN
dc.keywordsVideo streaming
dc.language.isoeng
dc.publisherIEEE
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofProceedings - International Conference on Image Processing, ICIP
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectEngineering
dc.subjectElectrical electronic engineering
dc.subjectImaging science
dc.subjectPhotographic technology
dc.titleQueue-allocation optimization for adaptive video streaming over software defined networks with multiple service-levels
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorBağcı, Kadir Tolga
local.contributor.kuauthorŞahin, Kemal Emrecan
local.contributor.kuauthorTekalp, Ahmet Murat
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