PFS: A Productivity Forecasting System For Desktop Computers To Improve Grid Applications Performance In Enterprise Desktop Grid

Autores
Salinas, Sergio Ariel; Garcia Garino, Carlos Gabriel; Zunino Suarez, Alejandro Octavio
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
An Enterprise Desktop Grid (EDG) is a low cost platform that gathers desktop computers spread over different institutions. This platform uses desktop computers idle time to run Grid applications. We argue that computers in these environments have a predictable productivity that affects a Grid application execution time. In this paper, we propose a system called PFS for computer productivity forecasting that improves Grid applications performance. We simulated 157.500 applications and compared the performance achieved by our proposal against two recent strategies. Our experiments show that a Grid scheduler based on PFS runs applications faster than schedulers based on other selection strategies.
Fil: Salinas, Sergio Ariel. Universidad Nacional de Cuyo; Argentina
Fil: Garcia Garino, Carlos Gabriel. Universidad Nacional de Cuyo; Argentina
Fil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
Materia
Enterprise Desktop Grid
computer productivity forecasting
prediction methods
Grid scheduling systems
heuristic method
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:11336/6796
Acceder
id CONICETDig_63273452d64bf9670d15b9aa9fb6547f
oai_identifier_str oai:ri.conicet.gov.ar:11336/6796
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling PFS: A Productivity Forecasting System For Desktop Computers To Improve Grid Applications Performance In Enterprise Desktop GridSalinas, Sergio ArielGarcia Garino, Carlos GabrielZunino Suarez, Alejandro OctavioEnterprise Desktop Gridcomputer productivity forecastingprediction methodsGrid scheduling systemsheuristic methodhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1An Enterprise Desktop Grid (EDG) is a low cost platform that gathers desktop computers spread over different institutions. This platform uses desktop computers idle time to run Grid applications. We argue that computers in these environments have a predictable productivity that affects a Grid application execution time. In this paper, we propose a system called PFS for computer productivity forecasting that improves Grid applications performance. We simulated 157.500 applications and compared the performance achieved by our proposal against two recent strategies. Our experiments show that a Grid scheduler based on PFS runs applications faster than schedulers based on other selection strategies.Fil: Salinas, Sergio Ariel. Universidad Nacional de Cuyo; ArgentinaFil: Garcia Garino, Carlos Gabriel. Universidad Nacional de Cuyo; ArgentinaFil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; ArgentinaSlovak Acad Sciences Inst Informatics2014-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6796Salinas, Sergio Ariel; Garcia Garino, Carlos Gabriel; Zunino Suarez, Alejandro Octavio; PFS: A Productivity Forecasting System For Desktop Computers To Improve Grid Applications Performance In Enterprise Desktop Grid; Slovak Acad Sciences Inst Informatics; Computing And Informatics; 33; 4; 10-2014; 783-8091335-9150enginfo:eu-repo/semantics/altIdentifier/url/http://www.cai.sk/ojs/index.php/cai/article/viewArticle/878info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:46:15Zoai:ri.conicet.gov.ar:11336/6796instacron: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:34982025-09-03 09:46:15.915CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv PFS: A Productivity Forecasting System For Desktop Computers To Improve Grid Applications Performance In Enterprise Desktop Grid
title PFS: A Productivity Forecasting System For Desktop Computers To Improve Grid Applications Performance In Enterprise Desktop Grid
spellingShingle PFS: A Productivity Forecasting System For Desktop Computers To Improve Grid Applications Performance In Enterprise Desktop Grid
Salinas, Sergio Ariel
Enterprise Desktop Grid
computer productivity forecasting
prediction methods
Grid scheduling systems
heuristic method
title_short PFS: A Productivity Forecasting System For Desktop Computers To Improve Grid Applications Performance In Enterprise Desktop Grid
title_full PFS: A Productivity Forecasting System For Desktop Computers To Improve Grid Applications Performance In Enterprise Desktop Grid
title_fullStr PFS: A Productivity Forecasting System For Desktop Computers To Improve Grid Applications Performance In Enterprise Desktop Grid
title_full_unstemmed PFS: A Productivity Forecasting System For Desktop Computers To Improve Grid Applications Performance In Enterprise Desktop Grid
title_sort PFS: A Productivity Forecasting System For Desktop Computers To Improve Grid Applications Performance In Enterprise Desktop Grid
dc.creator.none.fl_str_mv Salinas, Sergio Ariel
Garcia Garino, Carlos Gabriel
Zunino Suarez, Alejandro Octavio
author Salinas, Sergio Ariel
author_facet Salinas, Sergio Ariel
Garcia Garino, Carlos Gabriel
Zunino Suarez, Alejandro Octavio
author_role author
author2 Garcia Garino, Carlos Gabriel
Zunino Suarez, Alejandro Octavio
author2_role author
author
dc.subject.none.fl_str_mv Enterprise Desktop Grid
computer productivity forecasting
prediction methods
Grid scheduling systems
heuristic method
topic Enterprise Desktop Grid
computer productivity forecasting
prediction methods
Grid scheduling systems
heuristic method
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv An Enterprise Desktop Grid (EDG) is a low cost platform that gathers desktop computers spread over different institutions. This platform uses desktop computers idle time to run Grid applications. We argue that computers in these environments have a predictable productivity that affects a Grid application execution time. In this paper, we propose a system called PFS for computer productivity forecasting that improves Grid applications performance. We simulated 157.500 applications and compared the performance achieved by our proposal against two recent strategies. Our experiments show that a Grid scheduler based on PFS runs applications faster than schedulers based on other selection strategies.
Fil: Salinas, Sergio Ariel. Universidad Nacional de Cuyo; Argentina
Fil: Garcia Garino, Carlos Gabriel. Universidad Nacional de Cuyo; Argentina
Fil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
description An Enterprise Desktop Grid (EDG) is a low cost platform that gathers desktop computers spread over different institutions. This platform uses desktop computers idle time to run Grid applications. We argue that computers in these environments have a predictable productivity that affects a Grid application execution time. In this paper, we propose a system called PFS for computer productivity forecasting that improves Grid applications performance. We simulated 157.500 applications and compared the performance achieved by our proposal against two recent strategies. Our experiments show that a Grid scheduler based on PFS runs applications faster than schedulers based on other selection strategies.
publishDate 2014
dc.date.none.fl_str_mv 2014-10
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/11336/6796
Salinas, Sergio Ariel; Garcia Garino, Carlos Gabriel; Zunino Suarez, Alejandro Octavio; PFS: A Productivity Forecasting System For Desktop Computers To Improve Grid Applications Performance In Enterprise Desktop Grid; Slovak Acad Sciences Inst Informatics; Computing And Informatics; 33; 4; 10-2014; 783-809
1335-9150
url http://hdl.handle.net/11336/6796
identifier_str_mv Salinas, Sergio Ariel; Garcia Garino, Carlos Gabriel; Zunino Suarez, Alejandro Octavio; PFS: A Productivity Forecasting System For Desktop Computers To Improve Grid Applications Performance In Enterprise Desktop Grid; Slovak Acad Sciences Inst Informatics; Computing And Informatics; 33; 4; 10-2014; 783-809
1335-9150
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.cai.sk/ojs/index.php/cai/article/viewArticle/878
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
dc.publisher.none.fl_str_mv Slovak Acad Sciences Inst Informatics
publisher.none.fl_str_mv Slovak Acad Sciences Inst Informatics
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
_version_ 1842268780850315264
score 13.13397

Publicaciones similares