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Price/cooling aware and delay sensitive scheduling in geographically distributed data centers

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dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorAli, Ahsan
dc.contributor.kuauthorÖzkasap, Öznur
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T23:04:34Z
dc.date.issued2016
dc.description.abstractServers in data centers consume large amount of energy which increase the operational cost for cloud service providers, that spend a major portion of their revenue to pay bills due to inefficient workload assignment and wastage of resources. In order to minimize the operational cost of data centers, it is essential to optimize the scheduling of the jobs. In this paper, we address the problem of inefficient cooling system, SLA violations due to network delays and processing delays in geographically distributed data centers. We propose scheduling algorithms that aim to minimize the cooling cost by exploiting the temperature variations within the data centers and electricity cost by taking advantage of time-space-varying fluctuation of electricity prices. SLA violations are aimed to be minimized by assigning jobs considering deadlines, network delays and queuing delays. Experiments conducted on CloudSim show that price/cooling aware and delay sensitive scheduling reduces the overall cost by 22% as compared to random scheduling.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.doi10.1109/NOMS.2016.7502955
dc.identifier.isbn9781-5090-0223-8
dc.identifier.scopus2-s2.0-84979735981
dc.identifier.urihttps://doi.org/10.1109/NOMS.2016.7502955
dc.identifier.urihttps://hdl.handle.net/20.500.14288/8662
dc.identifier.wos389830100166
dc.keywordsScheduling
dc.keywordsScheduling algorithms
dc.keywordsCloud service providers
dc.keywordsDelay sensitive scheduling
dc.keywordsElectricity costs
dc.keywordsElectricity prices
dc.keywordsProcessing delay
dc.keywordsRandom scheduling
dc.keywordsTemperature variation
dc.keywordsWorkload assignment
dc.keywordsCosts
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofProceedings of the NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium
dc.subjectComputer science
dc.subjectHardware architecture
dc.subjectInformation systems
dc.titlePrice/cooling aware and delay sensitive scheduling in geographically distributed data centers
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorAli, Ahsan
local.contributor.kuauthorÖzkasap, Öznur
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Computer Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
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