Optimization in Heterogeneous Distributed Real-Time Systems based on Partitioning

In this work, a solution that can be applied to the RTSS 2022’s Industry Challenge is proposed. It relies on a real-time system model and a set of schedulability analysis and optimization tools, enabling the design of safety-critical applications compliant with timing requirements. The presented too...

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Authors: Amurrio, Andoni, Gutiérrez García, José Javier|||0000-0002-0706-5494, Aldea Rivas, Mario|||0000-0002-0430-5472, Azketa, Ekain
Format: article
Publication Date:2022
Country:España
Institution:Universidad de Cantabria (UC)
Repository:UCrea Repositorio Abierto de la Universidad de Cantabria
Language:English
OAI Identifier:oai:repositorio.unican.es:10902/29141
Online Access:https://hdl.handle.net/10902/29141
Access Level:Open access
Keyword:MAST
Schedulability analysis
Optimization
Partitioning
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spelling Optimization in Heterogeneous Distributed Real-Time Systems based on PartitioningAmurrio, AndoniGutiérrez García, José Javier|||0000-0002-0706-5494Aldea Rivas, Mario|||0000-0002-0430-5472Azketa, EkainMASTSchedulability analysisOptimizationPartitioningIn this work, a solution that can be applied to the RTSS 2022’s Industry Challenge is proposed. It relies on a real-time system model and a set of schedulability analysis and optimization tools, enabling the design of safety-critical applications compliant with timing requirements. The presented toolchain is enhanced with a novel task allocation technique, which leverages sensitivity analysis and that can be applied to heterogeneous systems, to provide promising solutions that improve state-of-the-art algorithms’ performance.This work was supported in part by MCIN/ AEI /10.13039/501100011033/ FEDER “Una manera de hacer Europa” under grant PID2021-124502OB-C42 (PRESECREL).Universidad de Cantabria20222022-12-07journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/2914143rd IEEE Real-Time Systems Symposium (RTSS) 2022, Industry Challengereponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/291412026-06-02T12:39:31Z
dc.title.none.fl_str_mv Optimization in Heterogeneous Distributed Real-Time Systems based on Partitioning
title Optimization in Heterogeneous Distributed Real-Time Systems based on Partitioning
spellingShingle Optimization in Heterogeneous Distributed Real-Time Systems based on Partitioning
Amurrio, Andoni
MAST
Schedulability analysis
Optimization
Partitioning
title_short Optimization in Heterogeneous Distributed Real-Time Systems based on Partitioning
title_full Optimization in Heterogeneous Distributed Real-Time Systems based on Partitioning
title_fullStr Optimization in Heterogeneous Distributed Real-Time Systems based on Partitioning
title_full_unstemmed Optimization in Heterogeneous Distributed Real-Time Systems based on Partitioning
title_sort Optimization in Heterogeneous Distributed Real-Time Systems based on Partitioning
dc.creator.none.fl_str_mv Amurrio, Andoni
Gutiérrez García, José Javier|||0000-0002-0706-5494
Aldea Rivas, Mario|||0000-0002-0430-5472
Azketa, Ekain
author Amurrio, Andoni
author_facet Amurrio, Andoni
Gutiérrez García, José Javier|||0000-0002-0706-5494
Aldea Rivas, Mario|||0000-0002-0430-5472
Azketa, Ekain
author_role author
author2 Gutiérrez García, José Javier|||0000-0002-0706-5494
Aldea Rivas, Mario|||0000-0002-0430-5472
Azketa, Ekain
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv MAST
Schedulability analysis
Optimization
Partitioning
topic MAST
Schedulability analysis
Optimization
Partitioning
description In this work, a solution that can be applied to the RTSS 2022’s Industry Challenge is proposed. It relies on a real-time system model and a set of schedulability analysis and optimization tools, enabling the design of safety-critical applications compliant with timing requirements. The presented toolchain is enhanced with a novel task allocation technique, which leverages sensitivity analysis and that can be applied to heterogeneous systems, to provide promising solutions that improve state-of-the-art algorithms’ performance.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-12-07
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/29141
url https://hdl.handle.net/10902/29141
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv 43rd IEEE Real-Time Systems Symposium (RTSS) 2022, Industry Challenge
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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