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Abstract:

Recently, the advent of embedded multicore processors has created interesting technologies for power management. Systems consisting of low-power and high-efficient cores create new possibilities for the optimization of power consumption. However, new design methods, dedicated to these technologies should be developed. In this paper we present a method of static task scheduling for low-power real-time embedded systems. We assume that the system is specified as a distributed algorithm, then it is implemented using multi-core embedded processor with low-power processing capabilities. We propose a new scheduling method to create the optimal or suboptimal schedule. The goal of optimization is to minimize the power consumption while all time constraints will be satisfied or the quality of service will be as high as possible. We present experimental results, obtained for sample systems, showing advantages of our method. - See more at: http://thesai.org/Publications/ViewPaper?Volume=7&Issue=12&Code=IJACSA&SerialNo=5#sthash.TsrOU53z.dpuf

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Scheduling of Distributed Algorithms for Low Power Embedded Systems