An empirical survey-based study into industry practice in real-time systems

B Akesson, M Nasri, G Nelissen… - 2020 IEEE Real …, 2020 - ieeexplore.ieee.org
This paper presents results and observations from a survey of 120 industry practitioners in
the field of real-time embedded systems. The survey provides insights into the …

Design space exploration for distributed cyber-physical systems: State-of-the-art, challenges, and directions

M Herget, FS Saadatmand, M Bor… - 2022 25th Euromicro …, 2022 - ieeexplore.ieee.org
Industrial Cyber-Physical Systems (CPS) are com-plex heterogeneous and distributed
computing systems, typically integrating and interconnecting a large number of subsystems …

[PDF][PDF] Monte carlo response-time analysis

S Bozhko, G von der Brüggen… - IEEE 42nd Real-Time …, 2021 - pure.mpg.de
Determining a soft or firm real-time task's probabilistic worst-case response time is a central
goal when quantifying and bounding the probability of deadline misses, but current …

RTailor: Parameterizing Soft Error Resilience for Mixed-Criticality Real-Time Systems

SY Huang, J Zeng, X Deng, S Wang… - 2023 IEEE Real …, 2023 - ieeexplore.ieee.org
Equipping real-time systems with soft error resilience can be challenging due to the tradeoff
of the timing and failure requirements for mixed-criticality tasks. Violation of these …

Real-time diabetic foot ulcer classification based on deep learning & parallel hardware computational tools

MA Fadhel, L Alzubaidi, Y Gu, J Santamaría… - Multimedia Tools and …, 2024 - Springer
Meeting the rising global demand for healthcare diagnostic tools is crucial, especially with a
shortage of medical professionals. This issue has increased interest in utilizing deep …

Compensating adaptive mixed criticality scheduling

RI Davis, A Burns, I Bate - … of the 30th International Conference on Real …, 2022 - dl.acm.org
The majority of prior academic research into mixed criticality systems assumes that if high-
criticality tasks continue to execute beyond the execution time limits at which they would …

Data-age analysis for multi-rate task chains under timing uncertainty

P Gohari, M Nasri, J Voeten - … of the 30th International Conference on …, 2022 - dl.acm.org
Safety and control functions of modern automotive systems are implemented as chains of
periodic data producer/consumer tasks run at different rates. To simplify the development of …

Reachability-Based Response-Time Analysis of Preemptive Tasks Under Global Scheduling

P Gohari, J Voeten, M Nasri - 36th Euromicro Conference on …, 2024 - drops.dagstuhl.de
Global scheduling reduces the average response times as it can use the available
computing cores more efficiently for scheduling ready tasks. However, this flexibility poses …

On the impact of hardware-related events on the execution of real-time programs

TNC Andrade, G Lima, VMC Lima, S Bem-Amor… - Design Automation for …, 2023 - Springer
Estimating safe upper bounds on execution times of programs is required in the design of
predictable real-time systems. When multi-core, instruction pipeline, branch prediction, or …

Partial-order reduction in reachability-based response-time analyses of limited-preemptive DAG tasks

S Ranjha, P Gohari, G Nelissen, M Nasri - Real-Time Systems, 2023 - Springer
Response-time analysis (RTA) has been a means to evaluate the temporal correctness of
real-time systems since the 1970 s. While early analyses were successful in capturing the …