Toward Energy-Efficient Cloud Computing: Prediction, Consolidation, and Overcommitment

被引:67
作者
Dabbagh, Mehiar [1 ]
Hamdaoui, Bechir [2 ]
Guizani, Mohsen [3 ]
Rayes, Ammar [4 ]
机构
[1] Oregon State Univ, Elect Engn & Comp Sci, Corvallis, OR 97331 USA
[2] Oregon State Univ, Sch EECS, Corvallis, OR 97331 USA
[3] Qatar Univ, Grad Studies, Doha, Qatar
[4] Cisco Syst, San Jose, CA USA
来源
IEEE NETWORK | 2015年 / 29卷 / 02期
关键词
Power management - Resource allocation - Distributed database systems - Energy utilization - Energy efficiency - Green computing;
D O I
10.1109/MNET.2015.7064904
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:56 / 61
页数:6
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