ABSTRACT

Power management has become popular in mobile computing as well as in server farms. Although a lot of work has been done to manage the energy consumption on uniprocessor real-time systems, there is less work done on their multicomputer counterparts. For a set of real-time tasks with precedence and resource constraints executing on a distributed system, we propose a dynamic slack management technique for feedback control scheduling (FCS) algorithm known as modified FCS algorithm. This algorithm schedules dependant periodic real-time task sets by effectively managing exclusive access resources with strict timing constraints along with energy efficiency. Simulation results show that, in comparison to commonly used greedy technique, the proposed technique achieves 28 percent less power consumption when validated with random task graphs.