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Reducing the gap between theory and practice in real-time systems with MARS
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Resumo(s)
A significant number of dependable systems rely on scheduling algorithms to achieve temporal correctness. Despite their relevance in real-world applications, only a narrow subset of the works in the literature of real-time systems are readily available to be reproduced in real-world hardware platforms. This lack of support not only hinders the reproducibility of research results, but also reduces the opportunity for new platform-specific research directions to emerge. In this work we discuss the use and development of an open-source tool named MARS capable of porting various scheduling tests and algorithms to hardware platforms used in distributed real-time dependable systems.
Descrição
This work was partially supported by project Route 25 (ref. TRB/2022/00061-C645463824-00000063), funded by the EU/Next Generation, within call n.º 02/C05-i01/2022 of the Recovery and Resilience Plan (RRP); CISTER, ISEP/IPP Research Unit (UIDP/UIDB/04234/2020); and by grant 2022.13599.BD, financed by FCT through the European Social Fund (ESF) and the Regional Operational Programme (ROP) Norte 2020. Disclaimer: this document reflects only the authors’ view and the Commission is not responsible for any
use that may be made of the information it contains.
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Contexto Educativo
Citação
Nandi, G.S., Pereira, D., Proença, J., Tovar, E., & Nogueira, L. (2024). Reducing the gap between theory and practice in real-time systems with MARS [Conference session]. 2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
Editora
IEEE