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An Efficient Threshold-Based Power Management Mechanism for Heterogeneous Soft Real-Time Clusters

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2 Author(s)
Leping Wang ; Department of Computer Science and Engineering, University of Nebraska-Lincoln ; Ying Lu

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.

Published in:

IEEE Transactions on Industrial Informatics  (Volume:6 ,  Issue: 3 )