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.

A Cloud Computing Workflow for Managing Oceanographic Data

Galletta A.
;
Carnevale L.
;
Villari M.
2018-01-01

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.
2018
Inglese
Communications in Computer and Information Science
Springer Verlag
Berlino
GERMANIA
ELETTRONICO
no
824
73
85
13
978-3-319-79089-3
978-3-319-79090-9
6th European Conference on Service-Oriented and Cloud Computing, ESOCC 2017
Oslo
2017
Internazionale
https://link.springer.com/chapter/10.1007/978-3-319-79090-9_5
Esperti anonimi
Big Data; Cloud Computing; Data collection; Data management; Data migration; NoSQL; Oceanography
none
Allam, S.; Galletta, A.; Carnevale, L.; Bekri, M. A.; El Ouahbi, R.; Villari, M.
6
14.d Contributo in Atti di Convegno::14.d.3 Contributi in extenso in Atti di convegno
273
info:eu-repo/semantics/conferenceObject
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3203057
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