Hong-Min Li

Interpretable Transformer-Based Hardware Health Assessment and Anomaly Detection for Servers in Large-Scale Data Centers

Reliable hardware health assessment is important for cloud servers, where latent degradation may gradually evolve into service anomalies. This paper proposes an interpretable Transformer-based framework for multi-sensor hardware health scoring and anomaly detection. Multivariate monitoring data are first normalized and...