Publication:
An effective approach for managing power consumption in cloud computing infrastructure

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dc.citedby16
dc.contributor.authorAbd S.K.en_US
dc.contributor.authorAl-Haddad S.A.R.en_US
dc.contributor.authorHashim F.en_US
dc.contributor.authorAbdullah A.B.H.J.en_US
dc.contributor.authorYussof S.en_US
dc.contributor.authorid56516784600en_US
dc.contributor.authorid49963059800en_US
dc.contributor.authorid57202656008en_US
dc.contributor.authorid8984213200en_US
dc.contributor.authorid16023225600en_US
dc.date.accessioned2023-05-29T06:38:12Z
dc.date.available2023-05-29T06:38:12Z
dc.date.issued2017
dc.descriptionBioinformatics; Carbon; Cloud computing; DNA; Energy utilization; Power management; Cloud computing infrastructures; Cloud computing services; DFGA; Lower-power consumption; Power aware architecture; Reduced power consumption; Resource utilizations; Vm migrations; Electric power utilizationen_US
dc.description.abstractCloud computing offers a dynamic provisioning of server capabilities as a scalable virtualized service. Big datacenters which deliver cloud computing services consume a lot of power. This results in high operational cost and large carbon emission. One way to lower power consumption without affecting the cloud services quality is to consolidate resources for reducing power. In this paper, we introduce a DNA-based Fuzzy Genetic Algorithm (DFGA) that employs DNA-based scheduling strategies to reduce power consumption in cloud datacenters. It is a power-aware architecture for managing power consumption in the cloud computing infrastructure. We also identify the performances metrics that are needed to evaluate the proposed work performance. The experimental results show that DFGA reduced power consumption when comparing with other algorithms. Our proposed work deals with real time task which is not static, and concentrates on the dynamic users since they are involved in cloud. � 2016en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.jocs.2016.11.007
dc.identifier.epage360
dc.identifier.scopus2-s2.0-85008222846
dc.identifier.spage349
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85008222846&doi=10.1016%2fj.jocs.2016.11.007&partnerID=40&md5=4bacf2d7fc5c222dfbc5ea97c50e5ced
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23176
dc.identifier.volume21
dc.publisherElsevier B.V.en_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleJournal of Computational Science
dc.titleAn effective approach for managing power consumption in cloud computing infrastructureen_US
dc.typeArticleen_US
dspace.entity.typePublication
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