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Slow down or race to halt: towards managing complexity of real-time energy management decisions

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Existing work in the context of energy management for real-time systems often ignores the substantial cost of making DVFS and sleep state decisions in terms of time and energy and/or assume very simple models. Within this paper we attempt to explore the parameter space for such decisions and possible constraints faced.

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IPP Hurray! Research Group

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