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    龙赛琴, 黄金娜, 李哲涛, 裴廷睿, 夏元清. 面向云网融合的数据中心能效评估方法[J]. 计算机研究与发展, 2021, 58(6): 1248-1260. DOI: 10.7544/issn1000-1239.2021.20201069
    引用本文: 龙赛琴, 黄金娜, 李哲涛, 裴廷睿, 夏元清. 面向云网融合的数据中心能效评估方法[J]. 计算机研究与发展, 2021, 58(6): 1248-1260. DOI: 10.7544/issn1000-1239.2021.20201069
    Long Saiqin, Huang Jinna, Li Zhetao, Pei Tingrui, Xia Yuanqing. Energy Efficiency Evaluation Method of Data Centers for Cloud-Network Integration[J]. Journal of Computer Research and Development, 2021, 58(6): 1248-1260. DOI: 10.7544/issn1000-1239.2021.20201069
    Citation: Long Saiqin, Huang Jinna, Li Zhetao, Pei Tingrui, Xia Yuanqing. Energy Efficiency Evaluation Method of Data Centers for Cloud-Network Integration[J]. Journal of Computer Research and Development, 2021, 58(6): 1248-1260. DOI: 10.7544/issn1000-1239.2021.20201069

    面向云网融合的数据中心能效评估方法

    Energy Efficiency Evaluation Method of Data Centers for Cloud-Network Integration

    • 摘要: 云网融合的加速发展,既推动着数据中心规模快速增长,也带来了巨大的能源消耗.如何制定合理的数据中心能效评估标准已成为指导数据中心能效提升亟需解决的关键问题.针对单一指标很难全面衡量数据中心的能源效率,且不同的数据中心能效指标各有侧重,甚至互相矛盾的问题,提出了将多指标进行融合来综合评估数据中心的能效,采用了主客观结合的赋权方法,为不同的能效指标设置权重,设计了基于云模型的多指标融合评估策略,得到了更加科学、全面的数据中心能效评估结果.最后,利用灰色关联法分析了评估结果与各能效指标之间的关系,分析结果对数据中心能效的提升具有重要的指导意义.

       

      Abstract: Cloud-network integration is developing at an accelerated pace, which not only promotes the rapid growth of data center scale, but also brings huge energy consumption. How to formulate reasonable data center energy efficiency evaluation standards has become a key issue that needs to be solved urgently to guide the improvement of data center energy efficiency. It is difficult to evaluate the energy efficiency of data centers comprehensively based on a single metric, and different data center energy efficiency metrics have their own focuses, and even contradict each other. It is proposed to integrate multiple metrics to evaluate the energy efficiency of data centers comprehensively. The model adopts a combination of subjective and objective weighting methods to set weights for different energy efficiency metrics. A multi-metric fusion evaluation strategy is designed based on the cloud model to obtain a more scientific and comprehensive data center energy efficiency evaluation result. Finally, the gray correlation method is proposed to analyze the relationship between the evaluation results and various energy efficiency metrics. The analysis results have important guiding significance for the improvement of data center energy efficiency.

       

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