基于虚拟机的数据中心能耗测量

doi:10.3969/j.issn.0255-8297.2020.03.014

Abstract

Abstract: Based on computation intensive mode and I/O intensive mode and combined with the running state parameters of typical equipment, a mathematical model for the dynamic energy consumption measurement of virtual machine granularity is proposed for the experimental environment of data center. The power consumption model takes CPU usage and CPU frequency in the computation intensive mode and takes the total read and write bytes of hard disk and memory in the I/O intensive mode to measure the power consumption, accordingly, deriving the energy consumption of the cloud platform by integrating the power consumption. Compared with the conventional method, the experimental method further refines the measurement granularity, and obtains an average precision of 0.062 5 as it measures energy consumption of test nodes with Wordcount computing task and Sort computing task. The proposed method performs a finer-grained energy consumption measurement than conventional methods with the same measurement accuracy.

Key words: data center, power consumption model, energy consumption model, virtual machine

CLC Number:

TP393

CHEN Jun, LI Ya, ZHANG Jie. Data Center Energy Consumption Measurement Based on Virtual Machine[J]. Journal of Applied Sciences, 2020, 38(3): 488-495.

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Data Center Energy Consumption Measurement Based on Virtual Machine

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