Real-time data exploitation supported by model-and event- driven architecture to enhance situation awareness, application to crisis management - Archive ouverte HAL Access content directly
Journal Articles Enterprise Information Systems Year : 2020

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

(1) , (1) , (2) , (1) , (1)
1
2
Audrey Fertier
Aurelie Montarnal
Sébastien Truptil
Frederick Benaben

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.
Fichier principal
Vignette du fichier
authorVersion.pdf (5.2 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02479436 , version 1 (14-02-2020)

Identifiers

Cite

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, 2020, 14 (6), pp.769-796. ⟨10.1080/17517575.2019.1691268⟩. ⟨hal-02479436⟩
125 View
387 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More