Abstract
As the limitation of energy consumption of real-time embedded systems becomes more and more strict, it has been difficult to ignore the time overhead and energy consumption of context switches for fixed-priority tasks with preemption scheduling (FPP) in multitasking environments. In addition, the scheduling for different types of tasks may disrupt each other and affect system reliability. A group-based energy-efficient dual priority scheduling (GEDP) is proposed in this paper. The GEDP isolates different types of tasks to avoid the disruption. Furthermore, it also reduces context switches effectively, thus decreasing system energy consumption. As many studies ignored the context switches’ overhead in the worst-case response time (WCRT) model, and it will affect the accuracy of WCRT, thereby affecting the system schedulability. Consequently, the WCRT model is improved based on considering context switches’ overhead. The GEDP is designed and implemented in Linux, and the time overhead and energy consumption of context switches is compared in different situations with GEDP and FPP. The experimental results show that GEDP can reduce context switches by about 1% and decrease energy consumption by about 0.6% for given tasks.
Highlights
Real-time embedded systems are widely used in high-reliability application domains to ensure reliable execution of mission-critical tasks
The number of context switches for each benchmark was related to its normal priority and threshold priority
The worst-case response time was improved by considering context switches for analyzing schedulability
Summary
Real-time embedded systems are widely used in high-reliability application domains to ensure reliable execution of mission-critical tasks. These domains include aerospace, unmanned aerial vehicles, automobiles, and so on [1,2,3]. With the development of computer technology, such systems are becoming more intelligent, and the demand for long time running is getting stronger. Most real-time embedded systems in the unmanned aerial area are battery powered. To ensure the reliability and long time running of real-time embedded system, the research is working on ways to reduce energy consumption, which can reduce system energy demands and improve the reliability and stability of energy supply [4,5,6]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
