Resilience modeling and evaluation of multi-state system with common bus performance sharing under dynamic reconfiguration

Multi-state systems with common bus performance sharing (MSS-CBPS) are widely applied in the industry, including integrated modular avionics (IMA) and computing systems. In the presence of uncertain disturbances, dynamic reconfiguration can enhance the ability to manage these uncertainties effectively. Resilience can significantly describe the ability of systems to recover from disturbances. However, effective methods have not fully been proposed to model and evaluate their resilience against disturbances. To address this issue, this paper introduces a novel resilience model based on the structure and characteristics of the MSS-CBPS, incorporating dynamic reconfiguration strategies and performance allocation sequences. Furthermore, the model comprehensively evaluates system resilience through resistance, response, and recovery resilience metrics. Based on the novel resilience model, an algorithm based on the universal generating function (UGF) is developed to evaluate system resilience accurately under different dynamic reconfiguration strategies. Finally, the model and algorithm are applied to an integrated task processing system in a helicopter to demonstrate their feasibility by analyzing resilience tendencies under different dynamic reconfiguration strategies. The results also provide valuable insights for designing integrated task processing systems.