Minimizing Energy Consumption of Smart Grid Data Centers using Cloud Computing

被引:0
作者
Tayeb, Shahab [1 ]
Mirnabibaboli, Miresmaeil [1 ]
Chato, Lina [1 ]
Latifi, Shahram [1 ]
机构
[1] Univ Nevada, Dept Elect & Comp Engn, Las Vegas, NV 89154 USA
来源
2017 IEEE 7TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE IEEE CCWC-2017 | 2017年
关键词
Cloud Analyst; Data Center; Distribution; Energy; Virtualization;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cloud computing provides its services via high speed networks as a service to users. In private clouds, the consumers access resources through a broker. This prevents wasting resources by owning idle systems and thus, lowering the cost. In this paper, a method is proposed to minimize the energy consumption of smart grid computation systems. To achieve this, different properties of private clouds, such as distributed computing among an array of data centers, were utilized. The proposed method was simulated on the Cloud Analyst test bed. Simulation results demonstrate that the proposed method achieves lower energy consumption as compared to predominant methods, which results in a significant cost reduction.
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页数:5
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