Synthesis of Power Aware Adaptive Schedulers for Embedded Systems using Developmental Genetic Programming

Abstract

Abstract-In this paper we present a method of synthesis of adaptive schedulers for real-time embedded systems. We assume that the system is implemented using multi-core embedded processor with low-power processing capabilities. First, the developmental genetic programming is used to generate the scheduler and the initial schedule. Then, during the system execution the scheduler modifies the schedule whenever execution time of the recently finished task occurred shorter or longer than expected. The goal of rescheduling is to minimize the power consumption while all time constraints will be satisfied. We present real-life example as well as some experimental results showing advantages of our method.

Scheduling of Distributed Algorithms for Low Power Embedded Systems

“…Our future work will concentrate on extending our method to systems specified using other classes of distributed algorithms, systems using other power management technologies as well as adaptive systems [21], considering the dynamic power optimization. Other direction of our work is to perform scheduling of the set of applications on the same system.…”