Reduced computational cost in the calculation of worst case response time for real time systems
- Autores
- Urriza, José M.; Schorb, Lucas; Orozco, Javier D.; Cayssials, Ricardo
- Año de publicación
- 2009
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Modern Real Time Operating Systems require reducing computational costs even though the microprocessors become more powerful each day. It is usual that Real Time Operating Systems for embedded systems have advance features to administrate the resources of the applications that they support. In order to guarantee either the schedulability of the system or the schedulability of a new task in a dynamic Real Time System, it is necessary to know the Worst Case Response Time of the Real Time tasks during runtime. In this paper a reduced computational cost algorithm is proposed to determine the Worst Case Response Time of Real Time tasks.Modern Real Time Operating Systems require reducing computational costs even though the microprocessors become more powerful each day. It is usual that Real Time Operating Systems for embedded systems have advance features to administrate the resources of the applications that they support. In order to guarantee either the schedulability of the system or the schedulability of a new task in a dynamic Real Time System, it is necessary to know the Worst Case Response Time of the Real Time tasks during runtime. In this paper a reduced computational cost algorithm is proposed to determine the Worst Case Response Time of Real Time tasks.
Facultad de Informática - Materia
-
Ciencias Informáticas
schedulability
response time analysis
RM
DM - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc/3.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/9654
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Reduced computational cost in the calculation of worst case response time for real time systemsUrriza, José M.Schorb, LucasOrozco, Javier D.Cayssials, RicardoCiencias Informáticasschedulabilityresponse time analysisRMDMModern Real Time Operating Systems require reducing computational costs even though the microprocessors become more powerful each day. It is usual that Real Time Operating Systems for embedded systems have advance features to administrate the resources of the applications that they support. In order to guarantee either the schedulability of the system or the schedulability of a new task in a dynamic Real Time System, it is necessary to know the Worst Case Response Time of the Real Time tasks during runtime. In this paper a reduced computational cost algorithm is proposed to determine the Worst Case Response Time of Real Time tasks.Modern Real Time Operating Systems require reducing computational costs even though the microprocessors become more powerful each day. It is usual that Real Time Operating Systems for embedded systems have advance features to administrate the resources of the applications that they support. In order to guarantee either the schedulability of the system or the schedulability of a new task in a dynamic Real Time System, it is necessary to know the Worst Case Response Time of the Real Time tasks during runtime. In this paper a reduced computational cost algorithm is proposed to determine the Worst Case Response Time of Real Time tasks.Facultad de Informática2009-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf72-81http://sedici.unlp.edu.ar/handle/10915/9654enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct09-5.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:32:21Zoai:sedici.unlp.edu.ar:10915/9654Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:32:21.783SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Reduced computational cost in the calculation of worst case response time for real time systems |
| title |
Reduced computational cost in the calculation of worst case response time for real time systems |
| spellingShingle |
Reduced computational cost in the calculation of worst case response time for real time systems Urriza, José M. Ciencias Informáticas schedulability response time analysis RM DM |
| title_short |
Reduced computational cost in the calculation of worst case response time for real time systems |
| title_full |
Reduced computational cost in the calculation of worst case response time for real time systems |
| title_fullStr |
Reduced computational cost in the calculation of worst case response time for real time systems |
| title_full_unstemmed |
Reduced computational cost in the calculation of worst case response time for real time systems |
| title_sort |
Reduced computational cost in the calculation of worst case response time for real time systems |
| dc.creator.none.fl_str_mv |
Urriza, José M. Schorb, Lucas Orozco, Javier D. Cayssials, Ricardo |
| author |
Urriza, José M. |
| author_facet |
Urriza, José M. Schorb, Lucas Orozco, Javier D. Cayssials, Ricardo |
| author_role |
author |
| author2 |
Schorb, Lucas Orozco, Javier D. Cayssials, Ricardo |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas schedulability response time analysis RM DM |
| topic |
Ciencias Informáticas schedulability response time analysis RM DM |
| dc.description.none.fl_txt_mv |
Modern Real Time Operating Systems require reducing computational costs even though the microprocessors become more powerful each day. It is usual that Real Time Operating Systems for embedded systems have advance features to administrate the resources of the applications that they support. In order to guarantee either the schedulability of the system or the schedulability of a new task in a dynamic Real Time System, it is necessary to know the Worst Case Response Time of the Real Time tasks during runtime. In this paper a reduced computational cost algorithm is proposed to determine the Worst Case Response Time of Real Time tasks.Modern Real Time Operating Systems require reducing computational costs even though the microprocessors become more powerful each day. It is usual that Real Time Operating Systems for embedded systems have advance features to administrate the resources of the applications that they support. In order to guarantee either the schedulability of the system or the schedulability of a new task in a dynamic Real Time System, it is necessary to know the Worst Case Response Time of the Real Time tasks during runtime. In this paper a reduced computational cost algorithm is proposed to determine the Worst Case Response Time of Real Time tasks. Facultad de Informática |
| description |
Modern Real Time Operating Systems require reducing computational costs even though the microprocessors become more powerful each day. It is usual that Real Time Operating Systems for embedded systems have advance features to administrate the resources of the applications that they support. In order to guarantee either the schedulability of the system or the schedulability of a new task in a dynamic Real Time System, it is necessary to know the Worst Case Response Time of the Real Time tasks during runtime. In this paper a reduced computational cost algorithm is proposed to determine the Worst Case Response Time of Real Time tasks.Modern Real Time Operating Systems require reducing computational costs even though the microprocessors become more powerful each day. It is usual that Real Time Operating Systems for embedded systems have advance features to administrate the resources of the applications that they support. In order to guarantee either the schedulability of the system or the schedulability of a new task in a dynamic Real Time System, it is necessary to know the Worst Case Response Time of the Real Time tasks during runtime. In this paper a reduced computational cost algorithm is proposed to determine the Worst Case Response Time of Real Time tasks. |
| publishDate |
2009 |
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2009-10 |
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eng |
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eng |
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