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Complex workflow management of the CAM global climate model on the GRID

Revista: Lecture Notes in Computer Science
Año: 2008   Volumen: 5103
Página inicial: 471   Última página: 480
Estado: Publicado
En este estado desde: 25 Jun 2008
Archivo PDF: 2008_fernandezq_ICCS.pdf
Enlace al PDF: Acceso en SpringerLink
DOI: 10.1007/978-3-540-69389-5_54
Autores:
, , , Baeza, C., , San-Martín, R.M., Abarca, R.,

Recent trends in climate modeling find in GRID computing a powerful way to achieve results by sharing computing and data distributed resources. In particular, ensemble prediction is based on the generation of multiple simulations from perturbed model conditions to sample the existing uncertainties. In this work, we present a GRID application consisting of a state-of-the-art climate model (CAM). The main goal of the application is providing a user-friendly platform to run ensemble-based predictions on the GRID. This requires managing a complex workflow involving long-term jobs and data management in a user-transparent way. In doing so, we identified the weaknesses of current GRID middleware tools and developed a robust workflow by merging the optimal existing applications with an underlying self-developed workflow.

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