A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres
Cloud 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...
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2023
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my.uniten.dspace-241662023-05-29T14:56:20Z A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres Atiewi S. Yussof S. Rusli M.E.B. Zalloum M. 53863311500 16023225600 16246214600 57204240617 Cloud 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 computing Cloud 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. Final 2023-05-29T06:56:20Z 2023-05-29T06:56:20Z 2018 Article 10.1504/IJGUC.2018.095439 2-s2.0-85055016909 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055016909&doi=10.1504%2fIJGUC.2018.095439&partnerID=40&md5=0a4fd224edca9c726ae270dc6a15d7b7 https://irepository.uniten.edu.my/handle/123456789/24166 9 4 385 395 Inderscience Publishers Scopus |
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Cloud 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 computing |
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53863311500 Atiewi S. Yussof S. Rusli M.E.B. Zalloum M. |
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Atiewi S. Yussof S. Rusli M.E.B. Zalloum M. |
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Atiewi S. Yussof S. Rusli M.E.B. Zalloum M. A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres |
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Atiewi S. |
title |
A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres |
title_short |
A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres |
title_full |
A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres |
title_fullStr |
A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres |
title_full_unstemmed |
A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres |
title_sort |
power saver scheduling algorithm using dvfs and dns techniques in cloud computing data centres |
publisher |
Inderscience Publishers |
publishDate |
2023 |
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1806423377804525568 |
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13.222552 |