Adaptive scheduling via feedback control for dynamic real-time systems

This paper presents an approach to adaptive CPU scheduling for dynamic real-time systems using control-theoretic methods. Mathematical models are developed that form the basis for the design of controllers that optimize a certain performance measure. Simulation results are presented to show the efficacy of our approach.