AxPUE: Application level metrics for power usage effectiveness in data centers

Author

Runlin Zhou ; Yingjie Shi ; Chunge Zhu

Author_Institution

Nat. Comput. Network Emergency Response Tech. Team, Coordination Center of China, Beijing, China

fYear

2013

fDate

6-9 Oct. 2013

Firstpage

110

Lastpage

117

Abstract

The rapid growth of data volume brings big challenges to the data center computing, and energy efficiency is one of the most concerned problems. Researchers from various fields are now proposing solutions to green the data center operations. Power usage effectiveness metric plays an important role in the energy saving research. However, the exising usage effectiveness metrics focus on measuring the relationship between the total facility energy consumed and the IT equipment energy consumed, without reflecting the energy efficiency of applications. In this paper, we analyze the requirements of application-level metrics for power usage efficiency of the data centers, and propose two novel energy efficiency metrics to provide strong guidance and useful insight to data center design and optimization.

Keywords

computer centres; green computing; power aware computing; AxPUE; IT equipment energy; application level metrics; data center computing; data center design; data center operation greening; data volume; energy efficiency; energy saving research; optimization; power usage effectiveness; Data handling; Data storage systems; Energy measurement; Information management; Power demand; Servers; Application Performance; Data Center; Power Usage Effectiveness;

fLanguage

English

Publisher

ieee

Conference_Titel

Big Data, 2013 IEEE International Conference on

Conference_Location

Silicon Valley, CA

Type

conf

DOI

10.1109/BigData.2013.6691705

Filename

6691705