DocumentCode :
82642
Title :
A Survey on Geographic Load Balancing Based Data Center Power Management in the Smart Grid Environment
Author :
Rahman, Aminur ; Xue Liu ; Fanxin Kong
Author_Institution :
Sch. of Comput. Sci., McGill Univ., Montreal, QC, Canada
Volume :
16
Issue :
1
fYear :
2014
fDate :
First Quarter 2014
Firstpage :
214
Lastpage :
233
Abstract :
Power management is becoming an increasingly important issue for Internet services supported by multiple geo-distributed data centers. These data center´s energy consumptions and costs are becoming unacceptably high, and placing a heavy burden on both energy resources and the environment. Emerging smart grid provides a feasible way for dynamic and efficient power management of data centers. Various power management methodologies based on geographic load balancing (GLB) have recently been proposed to effectively utilize several features of smart grid. In this paper, we summarize the motivations, current state of the art, approaches and techniques proposed in the recent research works in this discipline. In all of these works, many perspectives of power management have been addressed using various computer science principles. We specifically elaborate on how researchers are exploiting mathematical tools to address these perspectives. Finally, we point out subject matters that need more attentions from the research community and provide our vision on possible future works along this direction.
Keywords :
computer centres; energy consumption; mathematical analysis; power system management; resource allocation; smart power grids; GLB; Internet service; computer science principle; data center power management; energy consumption; energy resource; geographic load balancing; mathematical tool; multiple geodistributed data center; smart grid environment; Electricity; Load management; Optimization; Power demand; Renewable energy sources; Servers; Smart grids; Cloud computing; Constrained optimization; Data center; Power management; Smart grid;
fLanguage :
English
Journal_Title :
Communications Surveys & Tutorials, IEEE
Publisher :
ieee
ISSN :
1553-877X
Type :
jour
DOI :
10.1109/SURV.2013.070813.00183
Filename :
6578864
Link To Document :
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