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An energy consumption model and analysis tool for cloud computing environments

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conference contribution
posted on 2024-07-09, 14:22 authored by Fei Fei Chen, Jean-Guy Schneider, Yun YangYun Yang, John Grundy, Qiang HeQiang He
Cloud computing delivers computing as a utility to users worldwide. A consequence of this model is that cloud data centres have high deployment and operational costs, as well as significant carbon footprints for the environment. We need to develop Green Cloud Computing (Gee) solutions that reduce these deployment and operational costs and thus save energy and reduce adverse environmental impacts. In order to achieve this Objective, a thorough understanding of the energy consumption patterns in complex Cloud environments is needed. We present a new energy consumption model and associated analysis tool for Cloud computing environments. We measure energy consumption in Cloud environments based on different runtime tasks. Empirical analysis of the correlation of energy consumption and Cloud data and computational tasks, as well as system performance, will be investigated based on our energy consumption model and analysis tool. Our research results can be integrated into Cloud systems to monitor energy consumption and support static or dynamic system-level optimisation.

Funding

An Integrated Geophysical Study of the Southern Oklahoma Aulacogen

Directorate for Geosciences

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PDF (Accepted manuscript)

ISBN

9781467318327

Journal title

First International Workshop on Green and Sustainable Software Engineering (ICSE2012 GREENS), Zurich, Switzerland, 03 June 2012

Conference name

First International Workshop on Green and Sustainable Software Engineering ICSE2012 GREENS, Zurich, Switzerland, 03 June 2012

Volume

2

Pagination

5 pp

Publisher

IEEE

Copyright statement

Copyright © 2012 IEEE. The accepted manuscript is reproduced in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Language

eng

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