ISSN 1000-1239 CN 11-1777/TP

计算机研究与发展 ›› 2021, Vol. 58 ›› Issue (6): 1248-1260.doi: 10.7544/issn1000-1239.2021.20201069

所属专题: 2021云网融合专题

• 网络技术 • 上一篇    下一篇

面向云网融合的数据中心能效评估方法

龙赛琴1,2,3,黄金娜1,李哲涛1,2,3,裴廷睿1,2,3,夏元清4   

  1. 1(湘潭大学计算机学院 湖南湘潭 411105);2(物联网与信息安全湖南省重点实验室(湘潭大学) 湖南湘潭 411105);3(智慧网络湖南省国际科技创新合作基地(湘潭大学) 湖南湘潭 411105);4(北京理工大学自动化学院 北京 100081) (saiqinlong@xtu.edu.cn)
  • 出版日期: 2021-06-01
  • 基金资助: 
    国家重点研发计划项目(2018YFB1003702);国家自然科学基金项目(62032020,61502407,62076214);湖南省杰出青年科学基金项目(2018JJ1025);湖南省科技计划项目(2019RS3019,2018TP1036);湖南省自然科学基金项目(2019JJ50592);湖南省教育厅科学研究项目(18C0107)

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

Long Saiqin1,2,3, Huang Jinna1, Li Zhetao1,2,3, Pei Tingrui1,2,3, Xia Yuanqing4   

  1. 1(School of Computer Science, Xiangtan University, Xiangtan, Hunan 411105);2(Key Laboratory of Hunan Province for Internet of Things and Information Security (Xiangtan University), Xiangtan, Hunan 411105);3(Hunan International Scientific and Technological Cooperation Base of Intelligent Network (Xiangtan University), Xiangtan, Hunan 411105);4(School of Automation, Beijing Institute of Technology, Beijing 100081)
  • Online: 2021-06-01
  • Supported by: 
    This work was supported by the National Key Research and Development Program of China (2018YFB1003702), the National Natural Science Foundation of China (62032020, 61502407, 62076214), the Hunan Provincial Natural Science Foundation of China for Distinguished Young Scholars (2018JJ1025), the Hunan Science and Technology Planning Project (2019RS3019, 2018TP1036), the Natural Science Foundation of Hunan Province of China (2019JJ50592), and the Science Research Foundation of Hunan Provincial Educational Department(18C0107).

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.

关键词: 多指标, 数据中心, 能效, 云模型, 灰色关联

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.

Key words: multi-metric, data center, energy efficiency, cloud model, grey relation

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