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Turkish Journal of Electrical Engineering and Computer Sciences

DOI

10.3906/elk-1806-170

Abstract

The application domains of portable embedded real-time systems range from safety-critical applications like electronic control units in the automotive sector to entertainment applications like digital cameras and setup boxes in the consumer electronics sector. These systems attract users with multiple and sophisticated functionalities in a single system. The developments in VLSI technology have enabled IC manufacturers to incorporate more features in a single die, which facilitates these multipurpose systems. The increase in features and functionalities has a direct impact on power consumption and has to be strictly accounted for in the design of these embedded systems. The possibility of achieving low power consumption is obtained by using only effective software techniques along with the hardware powersaving methods. The dynamic power management techniques with the support of real-time operating systems (RTOSs) provided in recent microcontrollers enable better power management using software control. The scheduling of tasks in real-time systems is based on the worst-case execution time (WCET), whereas tasks based on their environmental conditions may complete their execution before the WCET. This leads to increased laxity (slack time) and reduced utilization of the CPU. This paper proposes Fixed Window DynaClam, a dynamic reclamation algorithm, to effectively utilize slack time. The clock frequency of the processor is slowed down by reclaiming the available slack time to reduce the energy consumption. The Fixed Window DynaClam algorithm is implemented for nonpreemptive periodic tasks in the controllers with dynamic voltage and frequency scaling power management features. The novelty of the algorithm is that the clock frequency is not only adjusted based on the real-time demands of the tasks but also does not overload the kernel of the RTOS as the complexity is on the lower side.

Keywords

Real-time task scheduling, nonpreemptive tasks, energy-optimized, dynamic voltage and frequency scaling, dynamic slack reclamation

First Page

2746

Last Page

2754

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