Static priority scheduling of event-triggered real-time embedded systems

Author(s):  
C. Erbas ◽  
S. Cerav-Erbas ◽  
A.D. Pimentel
2006 ◽  
Vol 30 (1) ◽  
pp. 49-49 ◽  
Author(s):  
Cagkan Erbas ◽  
Andy D. Pimentel ◽  
Selin Cerav-Erbas

2006 ◽  
Vol 30 (1) ◽  
pp. 29-47 ◽  
Author(s):  
Cagkan Erbas ◽  
Andy D. Pimentel ◽  
Selin Cerav-Erbas

Information ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 191
Author(s):  
Yongqi Ge ◽  
Rui Liu

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.


Electronics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 13
Author(s):  
Balaji M ◽  
Chandrasekaran M ◽  
Vaithiyanathan Dhandapani

A Novel Rail-Network Hardware with simulation facilities is presented in this paper. The hardware is designed to facilitate the learning of application-oriented, logical, real-time programming in an embedded system environment. The platform enables the creation of multiple unique programming scenarios with variability in complexity without any hardware changes. Prior experimental hardware comes with static programming facilities that focus the students’ learning on hardware features and programming basics, leaving them ill-equipped to take up practical applications with more real-time constraints. This hardware complements and completes their learning to help them program real-world embedded systems. The hardware uses LEDs to simulate the movement of trains in a network. The network has train stations, intersections and parking slots where the train movements can be controlled by using a 16-bit Renesas RL78/G13 microcontroller. Additionally, simulating facilities are provided to enable the students to navigate the trains by manual controls using switches and indicators. This helps them get an easy understanding of train navigation functions before taking up programming. The students start with simple tasks and gradually progress to more complicated ones with real-time constraints, on their own. During training, students’ learning outcomes are evaluated by obtaining their feedback and conducting a test at the end to measure their knowledge acquisition during the training. Students’ Knowledge Enhancement Index is originated to measure the knowledge acquired by the students. It is observed that 87% of students have successfully enhanced their knowledge undergoing training with this rail-network simulator.


2017 ◽  
Vol 16 (4) ◽  
pp. 1-21 ◽  
Author(s):  
Tianyi Wang ◽  
Soamar Homsi ◽  
Linwei Niu ◽  
Shaolei Ren ◽  
Ou Bai ◽  
...  

Author(s):  
Jaiganesh Balasubramanian ◽  
Sumant Tambe ◽  
Balakrishnan Dasarathy ◽  
Shrirang Gadgil ◽  
Frederick Porter ◽  
...  

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