DocumentCode :
1481319
Title :
An Efficient Threshold-Based Power Management Mechanism for Heterogeneous Soft Real-Time Clusters
Author :
Wang, Leping ; Lu, Ying
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
Volume :
6
Issue :
3
fYear :
2010
Firstpage :
352
Lastpage :
364
Abstract :
With growing cost of electricity, the power management (PM) of server clusters has become an important problem. However, most previous researchers only address the challenge in homogeneous environments. Considering the increasing popularity of heterogeneous systems, this paper proposes an efficient algorithm for PM of heterogeneous soft real-time clusters. It is built on simple but effective mathematical models. When deployed to a new platform, the software incurs low configuration cost because no extensive performance measurements and profiling are required. To strive for efficiency, a threshold-based approach is adopted. In this paper, we systematically study this approach and its design decisions.
Keywords :
mathematical analysis; power engineering computing; power markets; real-time systems; workstation clusters; electricity management; heterogeneous soft real-time clusters; heterogeneous systems; homogeneous environments; mathematical models; server clusters; threshold-based approach; threshold-based power management mechanism; Dynamic power management (PM); dynamic voltage scaling; heterogenous clusters; soft real-time;
fLanguage :
English
Journal_Title :
Industrial Informatics, IEEE Transactions on
Publisher :
ieee
ISSN :
1551-3203
Type :
jour
DOI :
10.1109/TII.2010.2047950
Filename :
5456231
Link To Document :
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