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AuthorDabbagh, Mehiar
AuthorHamdaoui, Bechir
AuthorGuizani, Mohsen
AuthorRayes, Ammar
Available date2022-11-10T09:47:24Z
Publication Date2015
Publication NameIEEE Network
ResourceScopus
Resource2-s2.0-84926631087
URIhttp://dx.doi.org/10.1109/MNET.2015.7064904
URIhttp://hdl.handle.net/10576/36157
AbstractEnergy consumption has become a significant concern for cloud service providers due to financial as well as environmental factors. As a result, cloud service providers are seeking innovative ways that allow them to reduce the amount of energy that their data centers consume. They are calling for the development of new energy-efficient techniques that are suitable for their data centers. The services offered by the cloud computing paradigm have unique characteristics that distinguish them from traditional services, giving rise to new design challenges as well as opportunities when it comes to developing energy-aware resource allocation techniques for cloud computing data centers. In this article we highlight key resource allocation challenges, and present some potential solutions to reduce cloud data center energy consumption. Special focus is given to power management techniques that exploit the virtualization technology to save energy. Several experiments, based on real traces from a Google cluster, are also presented to support some of the claims we make in this article. 1986-2012 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCloud computing
Distributed database systems
Energy utilization
Power management
Resource allocation
Cloud data centers
Cloud service providers
Design challenges
Environmental factors
Power management techniques
Resource allocation techniques
Traditional services
Virtualization technologies
Energy efficiency
TitleToward energy-efficient cloud computing: Prediction, consolidation, and overcommitment
TypeArticle
Pagination56-61
Issue Number2
Volume Number29
dc.accessType Abstract Only


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