Artículo
Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan
Longo, Mathias
; Arroqui, Mauricio
; Rodríguez Alvarez, Juan Maximiliano
; Machado, Claudio; Mateos Diaz, Cristian Maximiliano
; Zunino Suarez, Alejandro Octavio
Fecha de publicación:
12/2016
Editorial:
China Agricultural University
Revista:
Information Processing in Agriculture
ISSN:
2214-3173
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
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Identificadores
Colecciones
Articulos(CIVETAN)
Articulos de CENTRO DE INVESTIGACION VETERINARIA DE TANDIL
Articulos de CENTRO DE INVESTIGACION VETERINARIA DE TANDIL
Articulos(ISISTAN)
Articulos de INSTITUTO SUPERIOR DE INGENIERIA DEL SOFTWARE
Articulos de INSTITUTO SUPERIOR DE INGENIERIA DEL SOFTWARE
Citación
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
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