Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan

Autores
Longo, Mathias; Arroqui, Mauricio; Rodríguez Alvarez, Juan Maximiliano; Machado, Claudio; Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Resource-intensive agricultural simulation applications have increased the need for gridification tools –i.e., software to transform and scale up the applications using Grid infrastructures–. Previous research has proposed JASAG, a generic gridification tool for agricultural applications, through which the performance of a whole-farm simulation application called Simugan improved considerably. However, JASAG still lacks proper support for efficiently exploiting Grid storage resources, causing significant delays for assembling and summarizing the generated data. In this application note, two different data processing techniques in the context of JASAG are presented to tackle this problem. Simugan was again employed to validate the benefits of these techniques. Experiments using data processing techniques show that the execution time of Simugan was accelerated by a factor of up to 34.34.
Fil: Longo, Mathias. 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: Arroqui, Mauricio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Cientifíca y Tecnológica; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias; Argentina
Fil: Rodríguez Alvarez, Juan Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias; Argentina
Fil: Machado, Claudio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias. Departamento de Fisiopatología. Área de Nutrición; Argentina
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
Materia
AGRICULTURAL SIMULATION APPLICATIONS
DATA PROCESSING
GRID COMPUTING
GRIDIFICATION
JASAG
SIMUGAN
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/58607

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network_name_str CONICET Digital (CONICET)
spelling Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with SimuganLongo, MathiasArroqui, MauricioRodríguez Alvarez, Juan MaximilianoMachado, ClaudioMateos Diaz, Cristian MaximilianoZunino Suarez, Alejandro OctavioAGRICULTURAL SIMULATION APPLICATIONSDATA PROCESSINGGRID COMPUTINGGRIDIFICATIONJASAGSIMUGANhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Resource-intensive agricultural simulation applications have increased the need for gridification tools –i.e., software to transform and scale up the applications using Grid infrastructures–. Previous research has proposed JASAG, a generic gridification tool for agricultural applications, through which the performance of a whole-farm simulation application called Simugan improved considerably. However, JASAG still lacks proper support for efficiently exploiting Grid storage resources, causing significant delays for assembling and summarizing the generated data. In this application note, two different data processing techniques in the context of JASAG are presented to tackle this problem. Simugan was again employed to validate the benefits of these techniques. Experiments using data processing techniques show that the execution time of Simugan was accelerated by a factor of up to 34.34.Fil: Longo, Mathias. 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: Arroqui, Mauricio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Cientifíca y Tecnológica; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias; ArgentinaFil: Rodríguez Alvarez, Juan Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias; ArgentinaFil: Machado, Claudio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias. Departamento de Fisiopatología. Área de Nutrición; ArgentinaFil: 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; ArgentinaChina Agricultural University2016-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/58607Longo, Mathias; Arroqui, Mauricio; Rodríguez Alvarez, Juan Maximiliano; Machado, Claudio; Mateos Diaz, Cristian Maximiliano; et al.; Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan; China Agricultural University; Information Processing in Agriculture; 3; 4; 12-2016; 235-2432214-3173CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S2214317316300415info:eu-repo/semantics/altIdentifier/doi/10.1016/j.inpa.2016.09.001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:53:42Zoai:ri.conicet.gov.ar:11336/58607instacron: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 09:53:42.586CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan
title Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan
spellingShingle Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan
Longo, Mathias
AGRICULTURAL SIMULATION APPLICATIONS
DATA PROCESSING
GRID COMPUTING
GRIDIFICATION
JASAG
SIMUGAN
title_short Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan
title_full Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan
title_fullStr Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan
title_full_unstemmed Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan
title_sort Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan
dc.creator.none.fl_str_mv Longo, Mathias
Arroqui, Mauricio
Rodríguez Alvarez, Juan Maximiliano
Machado, Claudio
Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
author Longo, Mathias
author_facet Longo, Mathias
Arroqui, Mauricio
Rodríguez Alvarez, Juan Maximiliano
Machado, Claudio
Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
author_role author
author2 Arroqui, Mauricio
Rodríguez Alvarez, Juan Maximiliano
Machado, Claudio
Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv AGRICULTURAL SIMULATION APPLICATIONS
DATA PROCESSING
GRID COMPUTING
GRIDIFICATION
JASAG
SIMUGAN
topic AGRICULTURAL SIMULATION APPLICATIONS
DATA PROCESSING
GRID COMPUTING
GRIDIFICATION
JASAG
SIMUGAN
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Resource-intensive agricultural simulation applications have increased the need for gridification tools –i.e., software to transform and scale up the applications using Grid infrastructures–. Previous research has proposed JASAG, a generic gridification tool for agricultural applications, through which the performance of a whole-farm simulation application called Simugan improved considerably. However, JASAG still lacks proper support for efficiently exploiting Grid storage resources, causing significant delays for assembling and summarizing the generated data. In this application note, two different data processing techniques in the context of JASAG are presented to tackle this problem. Simugan was again employed to validate the benefits of these techniques. Experiments using data processing techniques show that the execution time of Simugan was accelerated by a factor of up to 34.34.
Fil: Longo, Mathias. 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: Arroqui, Mauricio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Cientifíca y Tecnológica; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias; Argentina
Fil: Rodríguez Alvarez, Juan Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias; Argentina
Fil: Machado, Claudio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias. Departamento de Fisiopatología. Área de Nutrición; Argentina
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
description Resource-intensive agricultural simulation applications have increased the need for gridification tools –i.e., software to transform and scale up the applications using Grid infrastructures–. Previous research has proposed JASAG, a generic gridification tool for agricultural applications, through which the performance of a whole-farm simulation application called Simugan improved considerably. However, JASAG still lacks proper support for efficiently exploiting Grid storage resources, causing significant delays for assembling and summarizing the generated data. In this application note, two different data processing techniques in the context of JASAG are presented to tackle this problem. Simugan was again employed to validate the benefits of these techniques. Experiments using data processing techniques show that the execution time of Simugan was accelerated by a factor of up to 34.34.
publishDate 2016
dc.date.none.fl_str_mv 2016-12
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/11336/58607
Longo, Mathias; Arroqui, Mauricio; Rodríguez Alvarez, Juan Maximiliano; Machado, Claudio; Mateos Diaz, Cristian Maximiliano; et al.; Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan; China Agricultural University; Information Processing in Agriculture; 3; 4; 12-2016; 235-243
2214-3173
CONICET Digital
CONICET
url http://hdl.handle.net/11336/58607
identifier_str_mv Longo, Mathias; Arroqui, Mauricio; Rodríguez Alvarez, Juan Maximiliano; Machado, Claudio; Mateos Diaz, Cristian Maximiliano; et al.; Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan; China Agricultural University; Information Processing in Agriculture; 3; 4; 12-2016; 235-243
2214-3173
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S2214317316300415
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.inpa.2016.09.001
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv China Agricultural University
publisher.none.fl_str_mv China Agricultural University
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
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score 13.13397