On the evaluation of gridification effort and runtime aspects of JGRIM applications

Autores
Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Campo, Marcelo Ricardo
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Nowadays, Grid Computing has been widely recognized as the next big thing in distributed software development. Grid technologies allow developers to implement massively distributed applications with enormous demands for resources such as processing power, data and network bandwidth. Despite the important benefits Grid Computing offers, contemporary approaches for Grid-enabling applications still force developers to invest much effort into manually providing code to discover and access Grid resources and services. Moreover, the outcome of this task is usually software that is polluted by Grid-aware code, as a result of which the maintainability suffers. In a previous article we presented JGRIM, a novel approach to easily gridify Java applications. In this paper, we report a detailed evaluation of JGRIM that was conducted by comparing it with Ibis and ProActive, two platforms for Grid development. Specifically, we used these three platforms for gridifying the k-Nearest Neighbor algorithm and an application for restoring panoramic images. The results show that JGRIM simplifies gridification without resigning performance for these applications.
Fil: Mateos Diaz, Cristian Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Campo, Marcelo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Materia
GRID COMPUTING
GRIDIFICATION
GRID SERVICES
JGRIM
DEPENDENCY INJECTION
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:11336/284218
Acceder
id CONICETDig_f42aee7eb0fcd782705c533efda490fe
oai_identifier_str oai:ri.conicet.gov.ar:11336/284218
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling On the evaluation of gridification effort and runtime aspects of JGRIM applicationsMateos Diaz, Cristian MaximilianoZunino Suarez, Alejandro OctavioCampo, Marcelo RicardoGRID COMPUTINGGRIDIFICATIONGRID SERVICESJGRIMDEPENDENCY INJECTIONhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Nowadays, Grid Computing has been widely recognized as the next big thing in distributed software development. Grid technologies allow developers to implement massively distributed applications with enormous demands for resources such as processing power, data and network bandwidth. Despite the important benefits Grid Computing offers, contemporary approaches for Grid-enabling applications still force developers to invest much effort into manually providing code to discover and access Grid resources and services. Moreover, the outcome of this task is usually software that is polluted by Grid-aware code, as a result of which the maintainability suffers. In a previous article we presented JGRIM, a novel approach to easily gridify Java applications. In this paper, we report a detailed evaluation of JGRIM that was conducted by comparing it with Ibis and ProActive, two platforms for Grid development. Specifically, we used these three platforms for gridifying the k-Nearest Neighbor algorithm and an application for restoring panoramic images. The results show that JGRIM simplifies gridification without resigning performance for these applications.Fil: Mateos Diaz, Cristian Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Campo, Marcelo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaElsevier Science2010-06info: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/11336/284218Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Campo, Marcelo Ricardo; On the evaluation of gridification effort and runtime aspects of JGRIM applications; Elsevier Science; Future Generation Computer Systems; 26; 6; 6-2010; 797-8190167-739XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.future.2010.02.014info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:31:48Zoai:ri.conicet.gov.ar:11336/284218instacron: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:34982026-08-25 14:31:48.393CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv On the evaluation of gridification effort and runtime aspects of JGRIM applications
title On the evaluation of gridification effort and runtime aspects of JGRIM applications
spellingShingle On the evaluation of gridification effort and runtime aspects of JGRIM applications
Mateos Diaz, Cristian Maximiliano
GRID COMPUTING
GRIDIFICATION
GRID SERVICES
JGRIM
DEPENDENCY INJECTION
title_short On the evaluation of gridification effort and runtime aspects of JGRIM applications
title_full On the evaluation of gridification effort and runtime aspects of JGRIM applications
title_fullStr On the evaluation of gridification effort and runtime aspects of JGRIM applications
title_full_unstemmed On the evaluation of gridification effort and runtime aspects of JGRIM applications
title_sort On the evaluation of gridification effort and runtime aspects of JGRIM applications
dc.creator.none.fl_str_mv Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
Campo, Marcelo Ricardo
author Mateos Diaz, Cristian Maximiliano
author_facet Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
Campo, Marcelo Ricardo
author_role author
author2 Zunino Suarez, Alejandro Octavio
Campo, Marcelo Ricardo
author2_role author
author
dc.subject.none.fl_str_mv GRID COMPUTING
GRIDIFICATION
GRID SERVICES
JGRIM
DEPENDENCY INJECTION
topic GRID COMPUTING
GRIDIFICATION
GRID SERVICES
JGRIM
DEPENDENCY INJECTION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Nowadays, Grid Computing has been widely recognized as the next big thing in distributed software development. Grid technologies allow developers to implement massively distributed applications with enormous demands for resources such as processing power, data and network bandwidth. Despite the important benefits Grid Computing offers, contemporary approaches for Grid-enabling applications still force developers to invest much effort into manually providing code to discover and access Grid resources and services. Moreover, the outcome of this task is usually software that is polluted by Grid-aware code, as a result of which the maintainability suffers. In a previous article we presented JGRIM, a novel approach to easily gridify Java applications. In this paper, we report a detailed evaluation of JGRIM that was conducted by comparing it with Ibis and ProActive, two platforms for Grid development. Specifically, we used these three platforms for gridifying the k-Nearest Neighbor algorithm and an application for restoring panoramic images. The results show that JGRIM simplifies gridification without resigning performance for these applications.
Fil: Mateos Diaz, Cristian Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Campo, Marcelo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
description Nowadays, Grid Computing has been widely recognized as the next big thing in distributed software development. Grid technologies allow developers to implement massively distributed applications with enormous demands for resources such as processing power, data and network bandwidth. Despite the important benefits Grid Computing offers, contemporary approaches for Grid-enabling applications still force developers to invest much effort into manually providing code to discover and access Grid resources and services. Moreover, the outcome of this task is usually software that is polluted by Grid-aware code, as a result of which the maintainability suffers. In a previous article we presented JGRIM, a novel approach to easily gridify Java applications. In this paper, we report a detailed evaluation of JGRIM that was conducted by comparing it with Ibis and ProActive, two platforms for Grid development. Specifically, we used these three platforms for gridifying the k-Nearest Neighbor algorithm and an application for restoring panoramic images. The results show that JGRIM simplifies gridification without resigning performance for these applications.
publishDate 2010
dc.date.none.fl_str_mv 2010-06
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/11336/284218
Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Campo, Marcelo Ricardo; On the evaluation of gridification effort and runtime aspects of JGRIM applications; Elsevier Science; Future Generation Computer Systems; 26; 6; 6-2010; 797-819
0167-739X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/284218
identifier_str_mv Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Campo, Marcelo Ricardo; On the evaluation of gridification effort and runtime aspects of JGRIM applications; Elsevier Science; Future Generation Computer Systems; 26; 6; 6-2010; 797-819
0167-739X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.future.2010.02.014
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 Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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_ 1874774084874665984
score 13.24418

Publicaciones similares