1. RODNA
  2. CONICET
  3. CONICET
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.creatorMéndez-Díaz, Isabel-
dc.creatorOrozco, Javier Dario-
dc.creatorSantos, Rodrigo Martin-
dc.creatorZabala, Paula Lorena-
dc.date2018-09-17T19:36:52Z-
dc.date2018-09-17T19:36:52Z-
dc.date2017-01-
dc.date2018-09-14T13:18:59Z-
dc.date.accessioned2019-04-29T15:56:54Z-
dc.date.available2019-04-29T15:56:54Z-
dc.identifierMéndez-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-
dc.identifier0969-6016-
dc.identifierhttp://hdl.handle.net/11336/59965-
dc.identifierCONICET Digital-
dc.identifierCONICET-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/305992-
dc.descriptionReward-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.-
dc.descriptionFil: 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-
dc.descriptionFil: Orozco, Javier Dario. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina-
dc.descriptionFil: Santos, Rodrigo Martin. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina-
dc.descriptionFil: 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-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherWiley-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/itor.12328-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/itor.12328-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectCOMBINATORIAL OPTIMIZATION-
dc.subjectHEURISTICS-
dc.subjectINTEGER PROGRAMMING-
dc.subjectSCHEDULING-
dc.subjectCiencias de la Computación-
dc.subjectCiencias de la Computación e Información-
dc.subjectCIENCIAS NATURALES Y EXACTAS-
dc.titleEnergy-aware scheduling mandatory/optional tasks in multicore real-time systems-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
Aparece en las colecciones: CONICET

Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Mostrar el registro sencillo del ítem