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Reducing the gap between theory and practice in real-time systems with MARS

dc.contributor.authorSpilere Nandi, Giann
dc.contributor.authorPereira, David
dc.contributor.authorProença, José
dc.contributor.authorTovar, Eduardo
dc.contributor.authorNogueira, Luís
dc.date.accessioned2024-09-27T15:28:02Z
dc.date.available2024-09-27T15:28:02Z
dc.date.issued2024
dc.descriptionThis 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.pt_PT
dc.description.abstractA 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.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.citationNandi, 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 Networkspt_PT
dc.identifier.doi10.1109/DSN-S60304.2024.00021pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/26142
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relation.publisherversionhttps://www.computer.org/csdl/proceedings-article/dsn-s/2024/957000a047/1ZNSSfhLv9upt_PT
dc.titleReducing the gap between theory and practice in real-time systems with MARSpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage49pt_PT
oaire.citation.startPage47pt_PT
oaire.citation.title2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networkspt_PT
person.familyNameNANDI
person.familyNamePereira
person.familyNameTovar
person.givenNameGIANN CARLOS
person.givenNameDavid
person.givenNameEduardo
person.identifier.ciencia-id0F12-0F3E-06E1
person.identifier.ciencia-id6017-8881-11E8
person.identifier.orcid0000-0002-3206-0599
person.identifier.orcid0000-0002-9851-0679
person.identifier.orcid0000-0001-8979-3876
person.identifier.scopus-author-id7006312557
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication80b63d8a-2e6d-484e-af3c-55849d0cb65e
relation.isAuthorOfPublication.latestForDiscoveryaa673f73-38c8-4db5-8e80-f96582f1e18c

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