ABSTRACT
232This chapter considers energy-aware control for a computing system with two states: active and idle. In the active state, the controller chooses to perform a single task using one of multiple task processing modes. The controller then saves energy by choosing an amount of time for the system to be idle. These decisions affect processing time, energy expenditure, and an abstract attribute vector that can be used to model other criteria of interest (such as processing quality or distortion). The goal is to optimize time average system performance. Applications of this model include a smart phone that makes energy-efficient computation and transmission decisions, a computer that processes tasks subject to rate, quality and power constraints, and a smart grid energy manager that allocates resources in reaction to a time varying energy price.
