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Towards energy aware cloud computing application construction

Authors:

Django Armstrong,

Richard KavanaghAuthors Info & Claims

Journal of Cloud Computing: Advances, Systems and Applications, Volume 6, Issue 1

Article No.: 83, Pages 1 - 13

https://doi.org/10.1186/s13677-017-0083-2

Published: 01 December 2017 Publication History

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.

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Cited By

Muthusamy ADhanaraj R(2023)Dynamic Q-Learning-Based Optimized Load Balancing Technique in CloudMobile Information Systems10.1155/2023/72502672023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/7250267
Shukla RChaturvedi A(2022)Energy-Aware VM SchedulerInternational Journal of Information System Modeling and Design10.4018/IJISMD.29763113:6(1-15)Online publication date: 27-Jul-2022
https://dl.acm.org/doi/10.4018/IJISMD.297631
Bhoi AKabat MNayak SPalai G(2022)Energy efficient task allocation and consolidation in multicast cloud networkWireless Networks10.1007/s11276-022-03029-228:8(3349-3366)Online publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1007/s11276-022-03029-2

Towards energy aware cloud computing application construction
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures

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Information & Contributors

Information

Published In

cover image Journal of Cloud Computing: Advances, Systems and Applications

Journal of Cloud Computing: Advances, Systems and Applications Volume 6, Issue 1

December 2017

524 pages

ISSN:2192-113X

EISSN:2192-113X

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Copyright © Copyright © 2017 The Author(s).

Publisher

Hindawi Limited

London, United Kingdom

Publication History

Published: 01 December 2017

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Cited By

Muthusamy ADhanaraj R(2023)Dynamic Q-Learning-Based Optimized Load Balancing Technique in CloudMobile Information Systems10.1155/2023/72502672023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/7250267
Shukla RChaturvedi A(2022)Energy-Aware VM SchedulerInternational Journal of Information System Modeling and Design10.4018/IJISMD.29763113:6(1-15)Online publication date: 27-Jul-2022
https://dl.acm.org/doi/10.4018/IJISMD.297631
Bhoi AKabat MNayak SPalai G(2022)Energy efficient task allocation and consolidation in multicast cloud networkWireless Networks10.1007/s11276-022-03029-228:8(3349-3366)Online publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1007/s11276-022-03029-2

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