CISNE-P: a global scheduling oriented to now environments
- Autores
- Torchinsky, Matías; Hanzich, Mauricio; Hernández Budé, Porfidio; Luque Fadón, Emilio; Giné de Solà, Francesc; Solsona Theás, Francesc; Lérida Monsó, Josep Lluís
- Año de publicación
- 2007
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In this work, we present an integral scheduling system for non-dedicated clusters, termed CISNE-P, which ensures the performance required by the local applications, while simultaneously allocating cluster resources to parallel jobs. Our approach solves the problem efficiently by using a social contract technique. This kind of technique is based on reserving computational resources, preserving a predetermined response time to local users. CISNE-P is a middleware which includes both a previously developed space-sharing job scheduler and a dynamic coscheduling system, a time sharing scheduling component. The experimentation performed in a Linux cluster shows that these two scheduler components are complementary and a good coordination improves global performance significantly. We also compare two different CISNE-P implementations: one developed inside the kernel, and the other entirely implemented in the user space.
Facultad de Informática - Materia
-
Ciencias Informáticas
Scheduling
Computer Applications - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc/3.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/9531
Ver los metadatos del registro completo
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CISNE-P: a global scheduling oriented to now environmentsTorchinsky, MatíasHanzich, MauricioHernández Budé, PorfidioLuque Fadón, EmilioGiné de Solà, FrancescSolsona Theás, FrancescLérida Monsó, Josep LluísCiencias InformáticasSchedulingComputer ApplicationsIn this work, we present an integral scheduling system for non-dedicated clusters, termed CISNE-P, which ensures the performance required by the local applications, while simultaneously allocating cluster resources to parallel jobs. Our approach solves the problem efficiently by using a social contract technique. This kind of technique is based on reserving computational resources, preserving a predetermined response time to local users. CISNE-P is a middleware which includes both a previously developed space-sharing job scheduler and a dynamic coscheduling system, a time sharing scheduling component. The experimentation performed in a Linux cluster shows that these two scheduler components are complementary and a good coordination improves global performance significantly. We also compare two different CISNE-P implementations: one developed inside the kernel, and the other entirely implemented in the user space.Facultad de Informática2007-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf72-78http://sedici.unlp.edu.ar/handle/10915/9531enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Mar07-12.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:UNLP2025-09-29T10:50:44Zoai:sedici.unlp.edu.ar:10915/9531Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:50:44.303SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
CISNE-P: a global scheduling oriented to now environments |
title |
CISNE-P: a global scheduling oriented to now environments |
spellingShingle |
CISNE-P: a global scheduling oriented to now environments Torchinsky, Matías Ciencias Informáticas Scheduling Computer Applications |
title_short |
CISNE-P: a global scheduling oriented to now environments |
title_full |
CISNE-P: a global scheduling oriented to now environments |
title_fullStr |
CISNE-P: a global scheduling oriented to now environments |
title_full_unstemmed |
CISNE-P: a global scheduling oriented to now environments |
title_sort |
CISNE-P: a global scheduling oriented to now environments |
dc.creator.none.fl_str_mv |
Torchinsky, Matías Hanzich, Mauricio Hernández Budé, Porfidio Luque Fadón, Emilio Giné de Solà, Francesc Solsona Theás, Francesc Lérida Monsó, Josep Lluís |
author |
Torchinsky, Matías |
author_facet |
Torchinsky, Matías Hanzich, Mauricio Hernández Budé, Porfidio Luque Fadón, Emilio Giné de Solà, Francesc Solsona Theás, Francesc Lérida Monsó, Josep Lluís |
author_role |
author |
author2 |
Hanzich, Mauricio Hernández Budé, Porfidio Luque Fadón, Emilio Giné de Solà, Francesc Solsona Theás, Francesc Lérida Monsó, Josep Lluís |
author2_role |
author author author author author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Scheduling Computer Applications |
topic |
Ciencias Informáticas Scheduling Computer Applications |
dc.description.none.fl_txt_mv |
In this work, we present an integral scheduling system for non-dedicated clusters, termed CISNE-P, which ensures the performance required by the local applications, while simultaneously allocating cluster resources to parallel jobs. Our approach solves the problem efficiently by using a social contract technique. This kind of technique is based on reserving computational resources, preserving a predetermined response time to local users. CISNE-P is a middleware which includes both a previously developed space-sharing job scheduler and a dynamic coscheduling system, a time sharing scheduling component. The experimentation performed in a Linux cluster shows that these two scheduler components are complementary and a good coordination improves global performance significantly. We also compare two different CISNE-P implementations: one developed inside the kernel, and the other entirely implemented in the user space. Facultad de Informática |
description |
In this work, we present an integral scheduling system for non-dedicated clusters, termed CISNE-P, which ensures the performance required by the local applications, while simultaneously allocating cluster resources to parallel jobs. Our approach solves the problem efficiently by using a social contract technique. This kind of technique is based on reserving computational resources, preserving a predetermined response time to local users. CISNE-P is a middleware which includes both a previously developed space-sharing job scheduler and a dynamic coscheduling system, a time sharing scheduling component. The experimentation performed in a Linux cluster shows that these two scheduler components are complementary and a good coordination improves global performance significantly. We also compare two different CISNE-P implementations: one developed inside the kernel, and the other entirely implemented in the user space. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo 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://sedici.unlp.edu.ar/handle/10915/9531 |
url |
http://sedici.unlp.edu.ar/handle/10915/9531 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Mar07-12.pdf info:eu-repo/semantics/altIdentifier/issn/1666-6038 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc/3.0/ Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) |
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openAccess |
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http://creativecommons.org/licenses/by-nc/3.0/ Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) |
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