DocumentCode :
3457598
Title :
SHIP: Scalable Hierarchical Power Control for Large-Scale Data Centers
Author :
Wang, Xiaorui ; Chen, Ming ; Lefurgy, Charles ; Keller, Tom W.
Author_Institution :
Univ. of Tennessee, Knoxville, TN, USA
fYear :
2009
fDate :
12-16 Sept. 2009
Firstpage :
91
Lastpage :
100
Abstract :
In today´s data centers, precisely controlling server power consumption is an essential way to avoid system failures caused by power capacity overload or overheating due to increasingly high server density. While various power control strategies have been recently proposed, existing solutions are not scalable to control the power consumption of an entire large-scale data center, because these solutions are designed only for a single server or a rack enclosure. In a modern data center, however, power control needs to be enforced at three levels: rack enclosure, power distribution unit, and the entire data center, due to the physical and contractual power limits at each level. This paper presents SHIP, a highly scalable hierarchical power control architecture for large-scale data centers. SHIP is designed based on well-established control theory for analytical assurance of control accuracy and system stability. Empirical results on a physical testbed show that our control solution can provide precise power control, as well as power differentiations for optimized system performance. In addition, our extensive simulation results based on a real trace file demonstrate the efficacy of our control solution in large-scale data centers composed of thousands of servers.
Keywords :
computer centres; network servers; power aware computing; power consumption; power control; stability; SHIP; data centers; power capacity overload; power differentiations; power distribution unit; rack enclosure; scalable hierarchical power control; server power consumption control; system failure avoidance; system stability; Control system analysis; Control systems; Control theory; Energy consumption; Large-scale systems; Marine vehicles; Power control; Power distribution; Stability analysis; System testing; Data center; feedback control; power capping; power management; scalability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Architectures and Compilation Techniques, 2009. PACT '09. 18th International Conference on
Conference_Location :
Raleigh, NC
ISSN :
1089-795X
Print_ISBN :
978-0-7695-3771-9
Type :
conf
DOI :
10.1109/PACT.2009.34
Filename :
5260553
Link To Document :
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