3 papers
cs.LG2025
CLEANet: Robust and Efficient Anomaly Detection in Contaminated Multivariate Time Series
Songhan Zhang, Yuanhao Lai, Pengfei Zheng +4
Multivariate time series (MTS) anomaly detection is essential for maintaining the reliability of industrial systems, yet real-world deployment is hindered by two critical challenge…
cs.SE2025
DynaCausal: Dynamic Causality-Aware Root Cause Analysis for Distributed Microservices
Songhan Zhang, Aoyang Fang, Yifan Yang +3
Cloud-native microservices enable rapid iteration and scalable deployment but also create complex, fast-evolving dependencies that challenge reliable diagnosis. Existing root cause…
cs.SE2025
Rethinking the Evaluation of Microservice RCA with a Fault Propagation-Aware Benchmark
Aoyang Fang, Songhan Zhang, Yifan Yang +7
While cloud-native microservice architectures have revolutionized software development, their inherent operational complexity makes failure Root Cause Analysis (RCA) a critical yet…