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

Abstract

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.