云计算环境下改进的能效度量模型  

Improved energy-efficiency measurement model for cloud computing

作　　者：宋杰[1] 侯泓颖[1] 王智[1] 朱志良[1] 

机构地区：[1]东北大学软件学院,辽宁沈阳110819

出　　处：《浙江大学学报（工学版）》2013年第1期44-52,共9页Journal of Zhejiang University：Engineering Science

基　　金：国家自然科学基金资助项目(61202088);辽宁省自然科学基金资助项目(200102059);中央高校基本科研业务费专项资金资助项目(N110417002)

摘　　要：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.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 defini- tion 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.

关 键 词：云计算 能效 度量模型 MAPREDUCE 

分 类 号：TP301.41[自动化与计算机技术—计算机系统结构]