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Traffic aware, utility and machine learning based framework for energy efficiency in software defined networks 

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dc.contributor.advisorÖzkasap, Öznur
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorAssefa, Beakal Gizachew
dc.contributor.programComputer Science and Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.coverage.spatialİstanbul
dc.date.accessioned2024-11-09T21:53:19Z
dc.date.issued2019
dc.format.extentxvii, 161 leaves : illustrations ; 30 cm.
dc.identifier.urihttps://hdl.handle.net/20.500.14288/4255
dc.language.isoeng
dc.publisherKoç University
dc.relation.collectionKU Theses and Dissertations
dc.rightsrestrictedAccess
dc.rights.copyrightsnote© All Rights Reserved. Accessible to Koç University Affiliated Users Only!
dc.subjectSoftware-defined networking (Computer network technology)
dc.subjectComputer networks
dc.subjectMachine learning
dc.subjectSoftware defined networking (SDN)
dc.subjectSDN (Computer network technology)
dc.subjectRatio for energy saving in SDN
dc.subjectRatio for energy saving in physical machines
dc.titleTraffic aware, utility and machine learning based framework for energy efficiency in software defined networks 
dc.typeDissertation
dspace.entity.typePublication
local.contributor.kuauthorAssefa, Beakal Gizachew
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