An overview of energy efficiency techniques in cluster computing systems

被引：149

作者：

Valentini, Giorgio Luigi ^{[1
,11
]}

Lassonde, Walter ^{[1
]}

Khan, Samee Ullah ^{[1
]}

Min-Allah, Nasro ^{[2
]}

Madani, Sajjad A. ^{[2
]}

Li, Juan ^{[1
]}

Zhang, Limin ^{[1
]}

Wang, Lizhe ^{[3
]}

Ghani, Nasir ^{[4
]}

Kolodziej, Joanna ^{[5
]}

Li, Hongxiang ^{[6
]}

Zomaya, Albert Y. ^{[7
]}

Xu, Cheng-Zhong ^{[8
]}

Balaji, Pavan ^{[9
]}

Vishnu, Abhinav ^{[10
]}

Pinel, Fredric ^{[11
]}

Pecero, Johnatan E. ^{[11
]}

Kliazovich, Dzmitry ^{[11
]}

Bouvry, Pascal ^{[11
]}

机构：

[1] N Dakota State Univ, NDSU CIIT Green Comp & Commun Lab, Dept Elect & Comp Engn, Fargo, ND 58108 USA

[2] COMSATS Inst Informat Technol, Islamabad, Pakistan

[3] Indiana Univ, Bloomington, IN USA

[4] Univ New Mexico, Albuquerque, NM 87131 USA

[5] Univ Bielsko Biala, PL-43300 Bielsko Biala, Poland

[6] Univ Louisville, Louisville, KY 40292 USA

[7] Univ Sydney, Sydney, NSW 2006, Australia

[8] Wayne State Univ, Detroit, MI USA

[9] Argonne Natl Lab, Argonne, IL 60439 USA

[10] Pacific NW Natl Lab, Richland, WA 99352 USA

[11] Univ Luxembourg, L-1359 Luxembourg, Luxembourg

来源：

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2013年 / 16卷 / 01期

基金：

欧盟地平线“2020”;

关键词：

Cluster computing; Energy efficiency; Power management; Survey; DYNAMIC VOLTAGE; PERFORMANCE;

D O I：

10.1007/s10586-011-0171-x

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Two major constraints demand more consideration for energy efficiency in cluster computing: (a) operational costs, and (b) system reliability. Increasing energy efficiency in cluster systems will reduce energy consumption, excess heat, lower operational costs, and improve system reliability. Based on the energy-power relationship, and the fact that energy consumption can be reduced with strategic power management, we focus in this survey on the characteristic of two main power management technologies: (a) static power management (SPM) systems that utilize low-power components to save the energy, and (b) dynamic power management (DPM) systems that utilize software and power-scalable components to optimize the energy consumption. We present the current state of the art in both of the SPM and DPM techniques, citing representative examples. The survey is concluded with a brief discussion and some assumptions about the possible future directions that could be explored to improve the energy efficiency in cluster computing.

引用

页码：3 / 15

页数：13

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