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An energy consumption model and analysis tool for Cloud computing environments

Version 2 2024-06-05, 01:56
Version 1 2016-10-12, 12:53
conference contribution
posted on 2024-06-05, 01:56 authored by Feifei ChenFeifei Chen, Jean-Guy SchneiderJean-Guy Schneider, Y Yang, J Grundy, Q 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 (GCC) 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.

History

Pagination

45-50

Location

Zurich, Switzerland

Start date

2012-06-03

End date

2012-06-03

ISBN-13

9781467318327

Language

eng

Publication classification

E Conference publication, E1.1 Full written paper - refereed

Copyright notice

2012, IEEE

Title of proceedings

GREENS 2012 : Proceedings of the Green and Sustainable Software 2012 Workshop

Event

Green and Sustainable software. Workshop (1st : 2012 : Zurich, Switzerland)

Publisher

IEEE

Place of publication

Piscataway, N.J.