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Running climate models on grids using G-Rex.
Bretherton, D A; Blower, J D; Haines, K; Smith, G C.
Afiliación
  • Bretherton DA; Reading e-Science Centre, Environmental Systems Science Centre, University of Reading, 3 Earley Gate, Reading RG6 6AL, UK. dab@mail.nerc-essc.ac.uk
Philos Trans A Math Phys Eng Sci ; 367(1890): 847-53, 2009 Mar 13.
Article en En | MEDLINE | ID: mdl-19087943
Compute grids are used widely in many areas of environmental science, but there has been limited uptake of grid computing by the climate modelling community, partly because the characteristics of many climate models make them difficult to use with popular grid middleware systems. In particular, climate models usually produce large volumes of output data, and running them also involves complicated workflows implemented as shell scripts. A new grid middleware system that is well suited to climate modelling applications is presented in this paper. Grid Remote Execution (G-Rex) allows climate models to be deployed as Web services on remote computer systems and then launched and controlled as if they were running on the user's own computer. Output from the model is transferred back to the user while the run is in progress, to prevent it from accumulating on the remote system and to allow the user to monitor the model. G-Rex has a representational state transfer (REST) architectural style, featuring a Java client program that can easily be incorporated into existing scientific workflow scripts. Some technical details of G-Rex are presented, with examples of its use by climate modellers.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Clima / Internet / Ecología / Procesos Climáticos / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: Philos Trans A Math Phys Eng Sci Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2009 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Clima / Internet / Ecología / Procesos Climáticos / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: Philos Trans A Math Phys Eng Sci Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2009 Tipo del documento: Article Pais de publicación: Reino Unido