MITIN Maritime Innovative Territories International Network
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          • International
          • International cooperation
          • Follow-up of the 1st MITIN Symposium: oceanography - subject 1: New technologies

          • New technologies (cloud computing, distributed databases…) for management and sharing of large archives of data (Big Data)
          • During the 1st MITIN Symposium (Qingdao, October 2013), a session was dedicated to exchanges on future cooperation. The objective was to prepare future cooperation projects (consortium and coordination, funding, activities and expected results) in oceanography and marine bio-resources.

            OCEANOGRAPHY - SUBJECT 1
            New technologies (cloud computing, distributed databases…) for management and sharing of large archives of data (Big Data)

            The amount of data and the need to share them are such that new data management systems should be elaborated. Thus the advances in the management of large distributed worldwide databases should now be applied to ocean science. Distributed databases, distributed computing (“cloud computing”) and distributed modeling services. Applications are numerous, beyond science, to serve the maritime industry, to predict natural hazards, to improve fisheries, to understand climatic changes. Moreover, these users could also become data providers if more standard web service models were applied.

            It was thus agreed to setup a project proposal which may start as a R&D phases, to prove the concepts and develop key and main software components. The proposal could be submitted to European or national R&D programs.

            Rationale:

            • Growing anount of data (large data archives, long time series, large variety of data...)
            • Need to improve data sharing (between providers at local to global scales)
            • Distribution of databases ans computing / modeling capacities
            • Status: the application of cloud computing / distributed databases / SOA architectures would benefit ocean science and its applications

            Proposal:

            • To apply to ocean science cloud computing and web services architectures to improve the management of large distributed worldwide databases
            • To address 3 major issues:
              • Data sharing: contribution, processing / storage, distribution and access
              • modeling servcies using cloud computing to improve coastal to global models
              • Provisioning of user services enabling users to become providers (Web services models)
            • Applications:
              • beyond science, to serve the maritime industry, to predict natural hazrds, to improve fidheries, to understand ocean changes...

            Contact: Ms. Fabienne Vallée, Technopôle Brest-Iroise, France
            fabienne.vallee@tech-brest-iroise.fr