DocumentCode
111725
Title
Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment
Author
Dabbagh, Mehiar ; Hamdaoui, Bechir ; Guizani, Mohsen ; Rayes, Ammar
Volume
29
Issue
2
fYear
2015
fDate
March-April 2015
Firstpage
56
Lastpage
61
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.
Keywords
cloud computing; computer centres; power aware computing; resource allocation; virtualisation; Google cluster; cloud data center energy consumption reduction; cloud service providers; data centers; energy saving; energy-aware resource allocation technique; energy-efficient cloud computing; environmental factor; financial factor; power management techniques; virtualization technology; 5G mobile communication; Cloud computing; Energy consumption; Energy efficiency; Resource management; Switches;
fLanguage
English
Journal_Title
Network, IEEE
Publisher
ieee
ISSN
0890-8044
Type
jour
DOI
10.1109/MNET.2015.7064904
Filename
7064904
Link To Document