Energy-aware scheduling mandatory/optional tasks in multicore real-time systems

Autores
Méndez-Díaz, Isabel; Orozco, Javier Dario; Santos, Rodrigo Martin; Zabala, Paula Lorena
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Reward-based scheduling of real-time systems of periodic, preemptable, and independent tasks with mandatory and optional parts in homogeneous multiprocessors with energy considerations is a problem that has not been analyzed before. The problem is NP-hard. In this paper, a restricted migration schedule is adopted in which different jobs of the same task may execute in different processors and at different power modes but no migration is allowed after the job has started its execution. An objective function to maximize the performance of the system considering the execution of optional parts, the benefits of slowing down the processor, and a penalty for changing the operation frequency is introduced together with a set of constraints that guarantee the real-time performance of the system. Different algorithms are proposed to find a feasible schedule maximizing the objective function and are compared using synthetic systems of tasks generated following guidelines proposed in previous papers.
Fil: Méndez-Díaz, Isabel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Orozco, Javier Dario. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Santos, Rodrigo Martin. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Zabala, Paula Lorena. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Combinatorial Optimization
Heuristics
Integer Programming
Scheduling
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/59965
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Energy-aware scheduling mandatory/optional tasks in multicore real-time systemsMéndez-Díaz, IsabelOrozco, Javier DarioSantos, Rodrigo MartinZabala, Paula LorenaCombinatorial OptimizationHeuristicsInteger ProgrammingSchedulinghttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Reward-based scheduling of real-time systems of periodic, preemptable, and independent tasks with mandatory and optional parts in homogeneous multiprocessors with energy considerations is a problem that has not been analyzed before. The problem is NP-hard. In this paper, a restricted migration schedule is adopted in which different jobs of the same task may execute in different processors and at different power modes but no migration is allowed after the job has started its execution. An objective function to maximize the performance of the system considering the execution of optional parts, the benefits of slowing down the processor, and a penalty for changing the operation frequency is introduced together with a set of constraints that guarantee the real-time performance of the system. Different algorithms are proposed to find a feasible schedule maximizing the objective function and are compared using synthetic systems of tasks generated following guidelines proposed in previous papers.Fil: Méndez-Díaz, Isabel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Orozco, Javier Dario. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Santos, Rodrigo Martin. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Zabala, Paula Lorena. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaWiley2017-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/59965Méndez-Díaz, Isabel; Orozco, Javier Dario; Santos, Rodrigo Martin; Zabala, Paula Lorena; Energy-aware scheduling mandatory/optional tasks in multicore real-time systems; Wiley; International Transactions in Operational Research; 24; 1-2; 1-2017; 173-1980969-6016CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/itor.12328info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/itor.12328info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:41:16Zoai:ri.conicet.gov.ar:11336/59965instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:41:16.741CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Energy-aware scheduling mandatory/optional tasks in multicore real-time systems
title Energy-aware scheduling mandatory/optional tasks in multicore real-time systems
spellingShingle Energy-aware scheduling mandatory/optional tasks in multicore real-time systems
Méndez-Díaz, Isabel
Combinatorial Optimization
Heuristics
Integer Programming
Scheduling
title_short Energy-aware scheduling mandatory/optional tasks in multicore real-time systems
title_full Energy-aware scheduling mandatory/optional tasks in multicore real-time systems
title_fullStr Energy-aware scheduling mandatory/optional tasks in multicore real-time systems
title_full_unstemmed Energy-aware scheduling mandatory/optional tasks in multicore real-time systems
title_sort Energy-aware scheduling mandatory/optional tasks in multicore real-time systems
dc.creator.none.fl_str_mv Méndez-Díaz, Isabel
Orozco, Javier Dario
Santos, Rodrigo Martin
Zabala, Paula Lorena
author Méndez-Díaz, Isabel
author_facet Méndez-Díaz, Isabel
Orozco, Javier Dario
Santos, Rodrigo Martin
Zabala, Paula Lorena
author_role author
author2 Orozco, Javier Dario
Santos, Rodrigo Martin
Zabala, Paula Lorena
author2_role author
author
author
dc.subject.none.fl_str_mv Combinatorial Optimization
Heuristics
Integer Programming
Scheduling
topic Combinatorial Optimization
Heuristics
Integer Programming
Scheduling
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Reward-based scheduling of real-time systems of periodic, preemptable, and independent tasks with mandatory and optional parts in homogeneous multiprocessors with energy considerations is a problem that has not been analyzed before. The problem is NP-hard. In this paper, a restricted migration schedule is adopted in which different jobs of the same task may execute in different processors and at different power modes but no migration is allowed after the job has started its execution. An objective function to maximize the performance of the system considering the execution of optional parts, the benefits of slowing down the processor, and a penalty for changing the operation frequency is introduced together with a set of constraints that guarantee the real-time performance of the system. Different algorithms are proposed to find a feasible schedule maximizing the objective function and are compared using synthetic systems of tasks generated following guidelines proposed in previous papers.
Fil: Méndez-Díaz, Isabel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Orozco, Javier Dario. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Santos, Rodrigo Martin. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Zabala, Paula Lorena. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Reward-based scheduling of real-time systems of periodic, preemptable, and independent tasks with mandatory and optional parts in homogeneous multiprocessors with energy considerations is a problem that has not been analyzed before. The problem is NP-hard. In this paper, a restricted migration schedule is adopted in which different jobs of the same task may execute in different processors and at different power modes but no migration is allowed after the job has started its execution. An objective function to maximize the performance of the system considering the execution of optional parts, the benefits of slowing down the processor, and a penalty for changing the operation frequency is introduced together with a set of constraints that guarantee the real-time performance of the system. Different algorithms are proposed to find a feasible schedule maximizing the objective function and are compared using synthetic systems of tasks generated following guidelines proposed in previous papers.
publishDate 2017
dc.date.none.fl_str_mv 2017-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/59965
Méndez-Díaz, Isabel; Orozco, Javier Dario; Santos, Rodrigo Martin; Zabala, Paula Lorena; Energy-aware scheduling mandatory/optional tasks in multicore real-time systems; Wiley; International Transactions in Operational Research; 24; 1-2; 1-2017; 173-198
0969-6016
CONICET Digital
CONICET
url http://hdl.handle.net/11336/59965
identifier_str_mv Méndez-Díaz, Isabel; Orozco, Javier Dario; Santos, Rodrigo Martin; Zabala, Paula Lorena; Energy-aware scheduling mandatory/optional tasks in multicore real-time systems; Wiley; International Transactions in Operational Research; 24; 1-2; 1-2017; 173-198
0969-6016
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/itor.12328
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/itor.12328
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.069144

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