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A Model for Efficient Onboard Actualization of an Instrumental Cyclogram for the Mars MetNet Mission on a Public Cloud Infrastructure

  • Jose Luis Vázquez-Poletti
  • Gonzalo Barderas
  • Ignacio M. Llorente
  • Pilar Romero
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7133)

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.

Keywords

Execution Time Cloud Computing Virtual Machine Grid Computing Instance Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jose Luis Vázquez-Poletti
    • 1
  • Gonzalo Barderas
    • 2
  • Ignacio M. Llorente
    • 1
  • Pilar Romero
    • 2
  1. 1.Departamento de Arquitectura de Computadores y Automática, Facultad de InformáticaUniversidad Complutense de MadridMadridSpain
  2. 2.Sección Departamental de Astronomía y Geodesia, Facultad de MatemáticasUniversidad Complutense de MadridMadridSpain

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