Review of performance metrics for green data centers: a taxonomy study

被引：132

作者：

Wang, Lizhe ^{[1
]}

Khan, Samee U. ^{[2
]}

机构：

[1] Indiana Univ, Pervas Technol Inst, Bloomington, IN 47408 USA

[2] N Dakota State Univ, Dept Elect & Comp Engn, Fargo, ND 58108 USA

来源：

JOURNAL OF SUPERCOMPUTING | 2013年 / 63卷 / 03期

关键词：

Data center; Green computing; Performance metrics; SERVER CONSOLIDATION;

D O I：

10.1007/s11227-011-0704-3

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

080201 [机械制造及其自动化];

摘要：

Data centers now play an important role in modern IT infrastructures. Although much research effort has been made in the field of green data center computing, performance metrics for green data centers have been left ignored. This paper is devoted to categorization of green computing performance metrics in data centers, such as basic metrics like power metrics, thermal metrics and extended performance metrics i.e. multiple data center indicators. Based on a taxonomy of performance metrics, this paper summarizes features of currently available metrics and presents insights for the study on green data center computing.

引用

页码：639 / 656

页数：18