An Analysis of Energy-Efficient Approaches Used for Virtual Machines and Data Centres

Manzoor, S; Manzoor, M; Hussain, W

An Analysis of Energy-Efficient Approaches Used for Virtual Machines and Data Centres

Manzoor, S Manzoor, M Hussain, W

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 14th IEEE International Conference on E-Business Engineering, ICEBE 2017 - Including 13th Workshop on Service-Oriented Applications, Integration and Collaboration, SOAIC 207, 2017, pp. 91 - 96
Issue Date:: 2017-11-22

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Field	Value	Language
dc.contributor.author	Manzoor, S	en_US
dc.contributor.author	Manzoor, M	en_US
dc.contributor.author	Hussain, W https://orcid.org/0000-0003-0610-4006	en_US
dc.date.issued	2017-11-22	en_US
dc.identifier.citation	Proceedings - 14th IEEE International Conference on E-Business Engineering, ICEBE 2017 - Including 13th Workshop on Service-Oriented Applications, Integration and Collaboration, SOAIC 207, 2017, pp. 91 - 96	en_US
dc.identifier.isbn	9781538614129	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126452
dc.description.abstract	© 2017 IEEE. The adoption of cloud computing has increased significantly, but this has given rise to the problem of efficient energy usage. The efficient use of energy by data centers and the use of virtual machines can help to minimize cost deadlines, resources, and utilization and execution times. There is a consequent need for different approaches that can reduce energy consumption whilst still achieving the multiple objectives of cloud computing. In this study, we examine a number of different approaches that have been discussed in the recent literature w.r.t. energy-efficient cloud workflow management, and we compare these approaches for energy-efficient usage of data centers and virtual machines. The results show that virtual machine scheduling and virtual machine allocation approaches are the most commonly used approaches that achieve an optimal energy consumption.	en_US
dc.relation.ispartof	Proceedings - 14th IEEE International Conference on E-Business Engineering, ICEBE 2017 - Including 13th Workshop on Service-Oriented Applications, Integration and Collaboration, SOAIC 207	en_US
dc.relation.isbasedon	10.1109/ICEBE.2017.23	en_US
dc.title	An Analysis of Energy-Efficient Approaches Used for Virtual Machines and Data Centres	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2017 IEEE. The adoption of cloud computing has increased significantly, but this has given rise to the problem of efficient energy usage. The efficient use of energy by data centers and the use of virtual machines can help to minimize cost deadlines, resources, and utilization and execution times. There is a consequent need for different approaches that can reduce energy consumption whilst still achieving the multiple objectives of cloud computing. In this study, we examine a number of different approaches that have been discussed in the recent literature w.r.t. energy-efficient cloud workflow management, and we compare these approaches for energy-efficient usage of data centers and virtual machines. The results show that virtual machine scheduling and virtual machine allocation approaches are the most commonly used approaches that achieve an optimal energy consumption.

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http://hdl.handle.net/10453/126452