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Communication Dans Un Congrès Année : 2021

Hardware architecture for the evaluation of BCP robustness indicators through massive data collection and interpretation

Oussema Ben Amara
Daouda Kamissoko
Frederick Benaben

Résumé

Recently, the concept of robustness measurement has become clearly important especially with the rise of risky events such as natural disasters and mortal pandemics. In this context, this paper proposes an overview of a hardware architecture for massive data collection in the aim of evaluating robustness indicators. This paper essentially addresses the theoretical and general problems that the scientific research is seeking to address in this area, offers a literature review of what already exists and, based on preliminary diagnosis of what the literature has, presents a new approach and some of the targeted findings with a focus on the leading aspects, having a primary objective of explaining the multiple aspects of this research work.
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Dates et versions

hal-03295458 , version 1 (22-07-2021)

Identifiants

  • HAL Id : hal-03295458 , version 1

Citer

Oussema Ben Amara, Daouda Kamissoko, Frederick Benaben, Ygal Fijalkow. Hardware architecture for the evaluation of BCP robustness indicators through massive data collection and interpretation. ISCRAM 2021 - 18th International conference on Information Systems for Crisis Response and Management, May 2021, Balcksburg (online), United States. p.71-78. ⟨hal-03295458⟩
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