An effective approach for managing power consumption in cloud computing infrastructure
Bioinformatics; 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 utilization
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Elsevier B.V.
2023
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my.uniten.dspace-231762023-05-29T14:38:12Z An effective approach for managing power consumption in cloud computing infrastructure Abd S.K. Al-Haddad S.A.R. Hashim F. Abdullah A.B.H.J. Yussof S. 56516784600 49963059800 57202656008 8984213200 16023225600 Bioinformatics; 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 utilization Cloud 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. � 2016 Final 2023-05-29T06:38:12Z 2023-05-29T06:38:12Z 2017 Article 10.1016/j.jocs.2016.11.007 2-s2.0-85008222846 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008222846&doi=10.1016%2fj.jocs.2016.11.007&partnerID=40&md5=4bacf2d7fc5c222dfbc5ea97c50e5ced https://irepository.uniten.edu.my/handle/123456789/23176 21 349 360 All Open Access, Green Elsevier B.V. Scopus |
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| description |
Bioinformatics; 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 utilization |
| author2 |
56516784600 |
| author_facet |
56516784600 Abd S.K. Al-Haddad S.A.R. Hashim F. Abdullah A.B.H.J. Yussof S. |
| format |
Article |
| author |
Abd S.K. Al-Haddad S.A.R. Hashim F. Abdullah A.B.H.J. Yussof S. |
| spellingShingle |
Abd S.K. Al-Haddad S.A.R. Hashim F. Abdullah A.B.H.J. Yussof S. An effective approach for managing power consumption in cloud computing infrastructure |
| author_sort |
Abd S.K. |
| title |
An effective approach for managing power consumption in cloud computing infrastructure |
| title_short |
An effective approach for managing power consumption in cloud computing infrastructure |
| title_full |
An effective approach for managing power consumption in cloud computing infrastructure |
| title_fullStr |
An effective approach for managing power consumption in cloud computing infrastructure |
| title_full_unstemmed |
An effective approach for managing power consumption in cloud computing infrastructure |
| title_sort |
effective approach for managing power consumption in cloud computing infrastructure |
| publisher |
Elsevier B.V. |
| publishDate |
2023 |
| _version_ |
1806426208996425728 |
| score |
13.19449 |