Information-Entropy-Driven Fault Propagation Modeling for Probabilistic Network Performance Prediction

Network faults can trigger cascading effects that cause abrupt and nonstationary performance degradation. Existing learning-based performance predictors mainly focus on normal operation or treat fault-induced topology and routing changes as static inputs, and typically produce deterministic point es