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A Hierarchical Model based Survivability and Resiliency Evaluation of Medical Edge Networks

Edge computing offers numerous applications in many sectors that other technologies would struggle to achieve, yet edge networks have a number of inherent limitations that might hinder the edge network from reaching implementation expectations. An edge network’s state varies over time; nodes might fail, and the system can be altered by parametric or structural changes. These possible events may be quantified using two metrics: survivability and resilience. The T1A1.2 definition is utilized for survival, and the Laprie and Simoncini’s definitions are used for resiliency. The edge network will be modeled using a three-tier hierarchical model, which will make use of continuous-time Markov chains and fault trees. This study can help investigate the impact of configuration alternation on the edge network of practical medical information systems.