Modeling the Dynamic Reconfiguration in Smart Crisis Response Systems

Akram Seghiri, Akram Seghiri, Faiza Belala, Nabil Hameurlain

2022

Abstract

Crises response systems form the majority of today’s complex systems; they generate situations characterized by harmful consequence, low probability, and short decision time. The decision-making in these systems constitute a challenging issue and must be conscientiously supported. The aim of this paper is twofold, we derive a referential architecture for crisis response system-of-systems in one hand, the role of communication and the characteristics of constituent systems that are needed to adapt their dynamic behavior are added to the architecture standard of IEEE. In the other hand, we define a formal model on the basis of the Maude Strategy language, to deal with the dynamic reconfiguration of these system types.

Paper Citation

in Harvard Style

Seghiri A., Belala F. and Hameurlain N. (2022). Modeling the Dynamic Reconfiguration in Smart Crisis Response Systems. In Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-568-5, pages 162-173. DOI: 10.5220/0011069300003176

in Bibtex Style

@conference{enase22,
author={Akram Seghiri and Faiza Belala and Nabil Hameurlain},
title={Modeling the Dynamic Reconfiguration in Smart Crisis Response Systems},
booktitle={Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2022},
pages={162-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011069300003176},
isbn={978-989-758-568-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Modeling the Dynamic Reconfiguration in Smart Crisis Response Systems
SN - 978-989-758-568-5
AU - Seghiri A.
AU - Belala F.
AU - Hameurlain N.
PY - 2022
SP - 162
EP - 173
DO - 10.5220/0011069300003176