Dependability Analysis in Redundant Communication Networks using Reliability Importance
In this paper, the authors investigate the dependability modeling in redundant communication networks. They use Stochastic Petri Net as an enabling modeling approach for analytical evaluation of complex scenarios. They apply their proposed modeling approach in a case study to evaluate the availability of enterprise networks in different architectures. These architectures consider different redundancy mechanisms. A combination of dependability models and reliability importance are used to analyze the system availability according to the most important components. They also show the variation of system availability in accordance with Mean Time to Failure in different architectures.