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

Abstract : 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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https://hal-mines-albi.archives-ouvertes.fr/hal-03295458
Contributor : Imt Mines Albi Imt Mines Albi <>
Submitted on : Thursday, July 22, 2021 - 10:17:58 AM
Last modification on : Wednesday, July 28, 2021 - 3:13:01 AM

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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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