Abstract
Recently, an energy-aware resource management problem using dynamic voltage scaling technique has been attention to. In real-time systems, the execution of tasks with higher Quality of Service (QoS) requires more energy consumption as will as larger resources. On the other hand, to avoid deviation of execution performance among the current task set, fair-sharing of resource is needed. In this presentation, we formulate a trade-off between the maximization of achievable and fair QoS levels and the minimization of energy consumption as a nonlinear programming problem. It is shown that, using QoS fairness constraints, this problem can be solved efficiently as a single variable convex minimization problem.
