Petters, Stefan M.Awan, Muhammad Ali2014-02-142014-02-142010http://hdl.handle.net/10400.22/3901Existing 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.engSlow down or race to halt: towards managing complexity of real-time energy management decisionsreport