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A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres

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dc.citedby6
dc.contributor.authorAtiewi S.en_US
dc.contributor.authorYussof S.en_US
dc.contributor.authorRusli M.E.B.en_US
dc.contributor.authorZalloum M.en_US
dc.contributor.authorid53863311500en_US
dc.contributor.authorid16023225600en_US
dc.contributor.authorid16246214600en_US
dc.contributor.authorid57204240617en_US
dc.date.accessioned2023-05-29T06:56:20Z
dc.date.available2023-05-29T06:56:20Z
dc.date.issued2018
dc.descriptionCloud computing; Costs; Dynamic frequency scaling; Electric power utilization; Energy efficiency; Energy utilization; Infrastructure as a service (IaaS); Network security; Quality of service; User interfaces; Virtual machine; Voltage scaling; Cloud computing environments; Data centres; DVFS; Dynamic voltage frequency scaling; Energy-Efficient Scheduling; Low energy consumption; Reduce energy consumption; Task-scheduling algorithms; Green computingen_US
dc.description.abstractCloud computing is a fascinating and profitable area in modern distributed computing. Aside from providing millions of users the means to use offered services through their own computers, terminals, and mobile devices, cloud computing presents an environment with low cost, simple user interface, and low power consumption by employing server virtualisation in its offered services (e.g., Infrastructure as a Service). The pool of virtual machines found in a cloud computing data centre (DC) must run through an efficient task scheduling algorithm to achieve resource utilisation and good quality of service, thus ensuring the positive effect of low energy consumption in the cloud computing environment. In this paper, we present an energy-efficient scheduling algorithm for a cloud computing DC using the dynamic voltage frequency scaling technique. The proposed scheduling algorithm can efficiently reduce the energy consumption for executing jobs by increasing resource utilisation. GreenCloud simulator is used to simulate our algorithm. Experimental results show that, compared with other algorithms, our algorithm can increase server utilisation, reduce energy consumption, and reduce execution time. Copyright � 2018 Inderscience Enterprises Ltd.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1504/IJGUC.2018.095439
dc.identifier.epage395
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85055016909
dc.identifier.spage385
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85055016909&doi=10.1504%2fIJGUC.2018.095439&partnerID=40&md5=0a4fd224edca9c726ae270dc6a15d7b7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24166
dc.identifier.volume9
dc.publisherInderscience Publishersen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Grid and Utility Computing
dc.titleA power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centresen_US
dc.typeArticleen_US
dspace.entity.typePublication
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