Energy Efficient Real-Time Scheduling in Distributed Systems
Battery powered real-time systems have been widely used in many applications. As the quantity and the functional complexity of battery powered devices continue to increase, energy efficient design of such devices has become important. Also these real-time systems have to concurrently perform a multitude of complex tasks with strict time constraints. Thus, minimizing power consumption and extending battery life while guaranteeing the timing constraints has become a critical aspect in designing such systems. Moreover, energy consumption is also a critical issue in parallel and distributed systems. We present novel algorithms for energy efficient scheduling of Directed Acyclic Graph (DAG) based applications on Dynamic Voltage Scaling (DVS) enabled systems. Experimental results show that our proposed algorithms give better results than the existing algorithms.
Keywords: Real-time, slack, energy reduction, scheduling
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