Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment
Author | Dabbagh, Mehiar |
Author | Hamdaoui, Bechir |
Author | Guizani, Mohsen |
Author | Rayes, Ammar |
Available date | 2022-11-10T09:47:24Z |
Publication Date | 2015 |
Publication Name | IEEE Network |
Resource | Scopus |
Resource | 2-s2.0-84926631087 |
Abstract | Energy 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. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Cloud 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 |
Type | Article |
Pagination | 56-61 |
Issue Number | 2 |
Volume Number | 29 |
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