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浙江大学学报(工学版)
J4  2013, Vol. 47 Issue (1): 44-52    DOI: 10.3785/j.issn.1008-973X.2013.01.007
    
Improved energy-efficiency measurement model for cloud computing
SONG Jie, HOU Hong-ying, WANG Zhi, ZHU Zhi-liang
Software College, Northeastern University, Shenyang 110819, China
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Abstract  

An energy efficiency measurement model was proposed to address the largescale computing problem through two metrics: “energy” and “efficiency”. As for “energy”, the energy consumption of computer, network and affiliated equipments was considered; as for “efficiency”, that of CPU, memory, disk and network was considered. The proposed energy efficiency measurement model describes the definition and mathematical expression of the improved energy efficiency measurement, and is proved reasonable through experiments. The energy efficiency of CPU intensive, I/O intensive and interactive computing was evaluated and analyzed based on the measurement model, and the energy efficiency laws in MapReduce environment were summarized．

Published: 01 January 2013
CLC:  TP 301.41  
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Cite this article:

SONG Jie, HOU Hong-ying, WANG Zhi, ZHU Zhi-liang. Improved energy-efficiency measurement model for cloud computing. J4, 2013, 47(1): 44-52.

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http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2013.01.007     OR     http://www.zjujournals.com/eng/Y2013/V47/I1/44


云计算环境下改进的能效度量模型

针对大规模计算的能效问题,提出改进的能效度量模型,通过“能源”和“效率”2种度量来综合评价系统能效.在“能源”方面,考虑计算机、网络和附属设备的能耗；在“效率”方面,考虑CPU、内存、磁盘以及网络的情况.提出的能效度量模型描述了改进后的能效度量的定义和数学表达,通过实验验证了该模型的合理性.基于该度量模型,评估并分析了MapReduce环境中CPU密集型、I/O密集型和交互型计算的能效,总结了MapReduce环境中的能效规律.

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