Real-time model of a smart mobility use case on heterogeneous MPSoC hardware
DOI:
https://doi.org/10.17979/ja-cea.2025.46.12173Keywords:
Real-time, Modelling, Scheduling, Smart mobility, ApplicationsAbstract
The current trend in industrial applications is evolving towards heterogeneous platforms that integrate multiple processors and specialized accelerators within a single MPSoC (MultiProcessor System on Chip). Many of these applications present temporal requirements that activities must meet by properly managing aspects such as concurrency, synchronization and deployment of these activities on the available processors or computing elements in a typically distributed environment. In this paper, the realtime model of an application in the field of smart mobility running on a testbed based on MPSoC processors is presented. The objective is to provide a detailed and complete model of the application to serve as a use case for the research and development of new techniques for scheduling, analysis and optimization of real-time systems based on heterogeneous platforms.
References
Altmeyer, S., André, E., Dal Zilio, S., Fejoz, L., Harbour, M. G., Graf, S., Gutiérrez, J. J., Henia, R., Le Botlan, D., Lipari, G., Medina, J., Navet, N., Quinton, S., Rivas, J. M., Sun, Y., 2023. From FMTV to WATERS: Lessons Learned from the First Verification Challenge at ECRTS. In: Papadopoulos, A. V. (Ed.), 35th Euromicro Conference on Real-Time Systems (ECRTS 2023). Vol. 262 of Leibniz International Proceedings in Informatics (LIPIcs). Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl, Germany, pp. 19:1–19:18. DOI: 10.4230/LIPIcs.ECRTS.2023.19
Andreozzi, M., Gabrielli, G., Venu, B., Travaglini, G., 7 2022. Industrial Challenge 2022: A High-Performance Real-Time Case Study on Arm. Leibniz International Proceedings in Informatics, LIPIcs 231. DOI: 10.4230/LIPIcs.ECRTS.2022.1
Bjelonic, M., 2016–2018. YOLO ROS: Real-time object detection for ROS. https://github.com/leggedrobotics/darknet_ros.
Festag, A., 09 2015. Standards for vehicular communication — from IEEE 802.11p to 5G. e & i Elektrotechnik und Informationstechnik 132. DOI: 10.1007/s00502-015-0343-0
Gomez, I., Díaz de Cerio, U., Parra, J., Rivas, J. M., Gutiérrez, J. J., Harbour, M. G., 2024. Using MAST for modeling and response-time analysis of real-time applications with GPUs. Journal of Systems Architecture 157, 103300. DOI: 10.1016/j.sysarc.2024.103300
Harbour, M. G., Gutiérrez, J. J., Palencia, J. C., Drake, J. M., 6 2001. MAST: Modeling and Analysis Suite for Real Time Applications. In: Proceedings of 13th Euromicro Conference on Real-Time Systems. IEEE Computer Society Press, pp. 125–134.
Object Management Group (OMG), 2019. An OMG UML Profile for MARTE: Modeling and Analysis of Real-Time Embedded Systems. Version 1.2.
OpenRobotics, 2025. ROS2 Humble Documentation. URL: https://docs.ros.org/en/humble/
RoboRacer Foundation, 2025. RoboRacer. URL: https://roboracer.ai/
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Copyright (c) 2025 Iosu Gomez Iturrioz, Unai Diaz de Cerio, Juan M. Rivas, J. Javier Gutiérrez

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