Abstract
Until now, several heuristics for scheduling parameter sweep applications in environments such as cluster and grid have been introduced. Cloud computing has revolutionized the way applications are executed in distributed environments, as now it is the infrastructure which is adapted to the application and not vice versa. In the present contribution an astronomy application from the next mission to Planet Mars with Finnish-Russian-Spanish flag is ported on to a cloud environment, resulting in a parameter sweep profile. The number of needed executions and the deadline provided required a big quantity of computing resources in a short term and punctual situations. For this reason, we introduce and validate a model for an optimal execution on a public cloud infrastructure by means of time, cost and a metric involving both.
This research was supported by the following projects: MEDIANET (Comunidad de Madrid S2009/TIC-1468), HPCcloud (MICINN TIN2009-07146) and MEIGA-METNET-PRECURSOR (AYA2009-14212-C05-05/ESP).
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Vázquez-Poletti, J.L., Barderas, G., Llorente, I.M., Romero, P. (2012). A Model for Efficient Onboard Actualization of an Instrumental Cyclogram for the Mars MetNet Mission on a Public Cloud Infrastructure. In: Jónasson, K. (eds) Applied Parallel and Scientific Computing. PARA 2010. Lecture Notes in Computer Science, vol 7133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28151-8_4
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DOI: https://doi.org/10.1007/978-3-642-28151-8_4
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