Energy aware resource allocation of cloud data center: review and open issues

被引:41
|
作者
Akhter, Nasrin [1 ]
Othman, Mohamed [1 ]
机构
[1] Univ Putra Malaysia, Dept Commun Technol & Network, Upm Serdang 43400, Selangor De, Malaysia
来源
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2016年 / 19卷 / 03期
关键词
Virtualization; Allocation of virtual machine; Energy efficiency; Power consumption; Cloud computing; EFFICIENT DYNAMIC CONSOLIDATION; GREEN DATA CENTERS; PERFORMANCE MANAGEMENT; POWER-CONSUMPTION; RENEWABLE ENERGY; VIRTUAL MACHINES; SIMULATION; FRAMEWORK; NETWORK; SAVINGS;
D O I
10.1007/s10586-016-0579-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The demand for cloud computing is increasing dramatically due to the high computational requirements of business, social, web and scientific applications. Nowadays, applications and services are hosted on the cloud in order to reduce the costs of hardware, software and maintenance. To satisfy this high demand, the number of large-scale data centers has increased, which consumes a high volume of electrical power, has a negative impact on the environment, and comes with high operational costs. In this paper, we discuss many ongoing or implemented energy aware resource allocation techniques for cloud environments. We also present a comprehensive review on the different energy aware resource allocation and selection algorithms for virtual machines in the cloud. Finally, we come up with further research issues and challenges for future cloud environments.
引用
收藏
页码:1163 / 1182
页数:20
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