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A Hybrid Cloud Computing Approach for Intelligent Processing and Storage of Scientific Data

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Computer Aided Systems Theory - EUROCAST 2013 (EUROCAST 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8111))

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Abstract

This paper covers a new approach on Cloud Computing for Scientific Data Storage and Processing using a hybrid system with both on-site and on-the-cloud systems. The system analyzes use cases which are not resolved by either one of the single systems themselves.

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References

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Author information

Authors and Affiliations

  1. Plataforma Oceánica de Canarias, Las Palmas, E35214, Spain

    David Horat & Eduardo Quevedo

  2. Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Las Palmas, E35017, Spain

    David Horat

  3. Instituto Universitario de Microelectrónica Aplicada, Universidad de Las Palmas de Gran Canaria, Las Palmas, E35017, Spain

    Eduardo Quevedo

  4. Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Universidad de Las Palmas de Gran Canaria, Las Palmas, E35017, Spain

    Alexis Quesada-Arencibia

Authors
  1. David Horat
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  2. Eduardo Quevedo
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  3. Alexis Quesada-Arencibia
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Editor information

Editors and Affiliations

  1. Universidad de Las Palmas de Gran Canaria, Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Campus de Tafira, 35017, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz  & Alexis Quesada-Arencibia  & 

  2. Johannes Kepler Universität Linz, Altenbergerstrasse 69, 4040, Linz, Austria

    Franz Pichler

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Horat, D., Quevedo, E., Quesada-Arencibia, A. (2013). A Hybrid Cloud Computing Approach for Intelligent Processing and Storage of Scientific Data. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2013. EUROCAST 2013. Lecture Notes in Computer Science, vol 8111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53856-8_23

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  • DOI: https://doi.org/10.1007/978-3-642-53856-8_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53855-1

  • Online ISBN: 978-3-642-53856-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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