Armstrong, D, Djemame, K and Kavanagh, R (2017) Towards energy aware cloud computing application construction. Journal of Cloud Computing, 6. 14. ISSN 2192-113X
Abstract
The energy consumption of cloud computing continues to be an area of significant concern as data center growth continues to increase. This paper reports on an energy efficient interoperable cloud architecture realised as a cloud toolbox that focuses on reducing the energy consumption of cloud applications holistically across all deployment models. The architecture supports energy efficiency at service construction, deployment and operation. We discuss our practical experience during implementation of an architectural component, the Virtual Machine Image Constructor (VMIC), required to facilitate construction of energy aware cloud applications. We carry out a performance evaluation of the component on a cloud testbed. The results show the performance of Virtual Machine construction, primarily limited by available I/O, to be adequate for agile, energy aware software development. We conclude that the implementation of the VMIC is feasible, incurs minimal performance overhead comparatively to the time taken by other aspects of the cloud application construction life-cycle, and make recommendations on enhancing its performance.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2017, The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Keywords: | Cloud computing; Virtualization; Energy efficiency; Cloud engineering; Cloud architectures; Cloud interoperability; Performance evaluation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EU - European Union 610874 EU - European Union 687584 |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Jul 2017 12:47 |
Last Modified: | 23 Jun 2023 22:32 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1186/s13677-017-0083-2 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:119031 |