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Real-time data exploitation supported by model-and event- driven architecture to enhance situation awareness, application to crisis management

Abstract : An effective crisis response requires up-to-date information. The crisis cell must reach for new, external, data sources. However, new data lead to new issues: their volume, veracity, variety or velocity cannot be managed by humans only, especially under high stress and time pressure. This paper proposes (i) a framework to enhance situation awareness while managing the 5Vs of Big Data, (ii) general principles to be followed and (iii) a new architecture implementing the proposed framework. The latter merges event-driven and model-driven architectures. It has been tested on a realistic flood scenario set up by official French services.
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https://hal-mines-albi.archives-ouvertes.fr/hal-02479436
Contributor : Audrey Fertier <>
Submitted on : Friday, February 14, 2020 - 2:56:42 PM
Last modification on : Wednesday, August 5, 2020 - 3:41:23 AM
Long-term archiving on: : Friday, May 15, 2020 - 4:35:59 PM

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Audrey Fertier, Aurelie Montarnal, Anne-Marie Barthe-Delanoë, Sébastien Truptil, Frederick Benaben. Real-time data exploitation supported by model-and event- driven architecture to enhance situation awareness, application to crisis management. Enterprise Information Systems, Taylor & Francis, 2020, 14 (6), pp.769-796. ⟨10.1080/17517575.2019.1691268⟩. ⟨hal-02479436⟩

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