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A Cloud Computing Workflow for Managing Oceanographic Data

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Advances in Service-Oriented and Cloud Computing (ESOCC 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 824))

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Abstract

Ocean data management plays an important role in the oceanographic problems, such as ocean acidification. These data, having different physical, biological and chemical nature, are collected from all seas and oceans of the world, generating an international networks for standardizing data formats and facilitating global databases exchange. Cloud computing is therefore the best candidate for oceanographic data migration on a distributed and scalable platform, able to help researchers for performing future predictive analysis. In this paper, we propose a new Cloud based workflow solution for storing oceanographic data and ensuring a good user experience about the geographical data visualization. Experiments prove the goodness of the proposed system in terms of performance.

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Acknowledgment

This work has been supported by Cloud for Europe grant agreement number FP7-610650 (C4E) Tender: REALIZATION OF A RESEARCH AND DEVELOPMENT PROJECT (PRE-COMMERCIAL PROCUREMENT) ON “CLOUD FOR EUROPE”, Italy-Rome: Research and development services and related consultancy services Contract notice: 2014/S 241-424518. Directive: 2004/18/EC. (http://www.cloudforeurope.eu/).

Author information

Authors and Affiliations

  1. Lab MIASH and Lab MACS, Department of Computer Science and Mathematics, Faulty of Sciences, University Moulay Ismail, Meknes, Morocco

    Salma Allam, Moulay Ali Bekri & Rachid El Ouahbi

  2. Department of Engineering, University of Messina, Messina, Italy

    Antonino Galletta, Lorenzo Carnevale & Massimo Villari

Authors
  1. Salma Allam
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  2. Antonino Galletta
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  3. Lorenzo Carnevale
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  4. Moulay Ali Bekri
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  5. Rachid El Ouahbi
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  6. Massimo Villari
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Corresponding author

Correspondence to Antonino Galletta .

Editor information

Editors and Affiliations

  1. University of Duisburg-Essen, Essen, Germany

    Zoltán Ádám Mann

  2. Western Norway University of Applied Sciences, Bergen, Norway

    Volker Stolz

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Allam, S., Galletta, A., Carnevale, L., Bekri, M.A., El Ouahbi, R., Villari, M. (2018). A Cloud Computing Workflow for Managing Oceanographic Data. In: Mann, Z., Stolz, V. (eds) Advances in Service-Oriented and Cloud Computing. ESOCC 2017. Communications in Computer and Information Science, vol 824. Springer, Cham. https://doi.org/10.1007/978-3-319-79090-9_5

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  • DOI: https://doi.org/10.1007/978-3-319-79090-9_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-79089-3

  • Online ISBN: 978-3-319-79090-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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