Dynamic reconfiguration method for shipboard electronic information systems for fault propagation risk suppression

To address the issue that dynamic reconfiguration strategies for new-generation shipboard electronic information system overlook the impact of fault propagation, potentially leading to reduced system reliability, a dynamic reconfiguration method incorporating fault propagation risk assessment is proposed. Firstly, a formal system model is constructed encompassing hardware resources, software services, and their deployment relationships, and the structural reliability metrics is proposed to quantify system reliability, thereby accurately characterizing the impact of system deployment relationships on fault propagation. Then, based on key operational metrics such as comprehensive structural reliability, load balancing, and migration costs, a multi-objective collaborative optimization reconstruction model is constructed, and a multi-agent reinforcement learning algorithm based on an improved value decomposition network is designed to achieve synchronous optimization of fault propagation suppression and system reconstruction efficiency. The experimental results show that compared to the benchmark algorithm, the proposed method can effectively suppress the impact of fault propagation and provide support for the reliability maintenance and continuous generation of capabilities in the reconstruction of shipboard electronic information system.