Supporting availability evaluation of a smart building monitoring system aided by fog computing

Abstract Internet of Things (IoT) is increasingly present in people's lives, mainly to provide security and well‐being. In homes and buildings, IoT sensors can monitor various factors such as temperature and the smoke presence. In case of danger, some action can be activated. However, a sensor network is a complex and fault‐prone architecture. Evaluating an IoT architecture in this context is essential. Thus, the objective of this paper is twofold: (i) suggest a continuous time Markov chain (CTMC) model for a smart building monitoring system as a starting point; (ii) based on the results of a sensitivity analysis, an expanded CTMC with improved system availability and shorter outage periods is proposed. The proposed solution reduced the downtime by 98% compared with the baseline architecture. Systems administrators can use our models to evaluate their solutions.

Abstract licence: CC BY-ND

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