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Power Management in Real Time Embedded Systems through Online and Adaptive Interplay of DPM and DVFS Policies

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3 Author(s)
Khurram Bhatti ; LEAT Res. Lab., Univ. of Nice-Sophia Antipolis, Valbonne, France ; Cecile Belleudy ; Michel Auguin

This paper considers the problem of power/energy minimization for periodic real-time tasks that are scheduled over multiprocessor platforms that have dynamic power management (DPM) and dynamic voltage & frequency scaling (DVFS) capabilities. Early research reports that while both DPM and DVFS policies perform well individually for a specific set of conditions, they often outperform each other under different workload and/or architecture configuration. Thus, no single policy fits perfectly all operating conditions. Instead of designing new policies for specific operating conditions, this paper proposes a generic power management scheme, called the Hybrid Power Management (HyPowMan) scheme. This scheme takes a set of well-known existing (DPM and DVFS) policies, each of which performs well for a given set of conditions, and adapts at runtime to the best-performing policy for any given workload. We performed experiments with state-of the-art DPM and DVFS techniques and results show that HyPowMan scheme adapts well to the changing workload and always achieves overall energy savings comparable to the best-performing policy at any point in time.

Published in:

Embedded and Ubiquitous Computing (EUC), 2010 IEEE/IFIP 8th International Conference on

Date of Conference:

11-13 Dec. 2010