Categorization of Metrics for Improving Efficiency of Green Data Centers

被引:0
作者
Kushwaha, Monalisa [1 ]
Singh, Archana [2 ]
Raina, B. L. [3 ]
机构
[1] Infosys Technol, Informat Technol, Pune, Maharashtra, India
[2] Amity Univ Uttar Pradesh, Comp Sci & Engn, Noida, India
[3] Glocal Univ, Comp Sci, Saharanpur, Uttar Pradesh, India
来源
PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND KNOWLEDGE ECONOMY (ICCIKE' 2019) | 2019年
关键词
Green Metrics; Green Data Center; Green Computing; Total Cost Ownership; Categorization of Metric; Data Center Performance efficiency; PERFORMANCE;
D O I
10.1109/iccike47802.2019.9004437
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Today due to the rapid development of digital economy the demand of customers for more data and the content of high bandwidth is fueling the surge in Data Center business. The consumption of energy by the Data Centers is surprisingly increasing from the past several years. There is no standard metric categorization framework defined which can be applied to Data Center to analyze its performance in terms of its energy consumption. This paper proposes the need of good metric and the criteria which a metric should fulfil to be a better metric than existing metrics. A clear schematic framework is shown in Fig. 1, which It clearly categorizes the existing metrics into a standard framework and also some metrics are proposed such as carbon emissions, energy intensity, Total cost ownership and uptime downtime cost which should also be considered while evaluating the performance efficiency of the Data Centers.
引用
收藏
页码:56 / 59
页数:4
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