TrinityRCL: Multi-Granular and Code-Level Root Cause Localization Using Multiple Types of Telemetry Data in Microservice Systems

S Gu, G Rong, T Ren, H Zhang, H Shen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The microservice architecture has been commonly adopted by large scale software systems
exemplified by a wide range of online services. Service monitoring through anomaly …

CHASE: A Causal Heterogeneous Graph based Framework for Root Cause Analysis in Multimodal Microservice Systems

Z Zhao, T Zhang, Z Shen, H Dong, X Ma, X Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, the widespread adoption of distributed microservice architectures within the
industry has significantly increased the demand for enhanced system availability and …

FTM-RCA: A Fast Two-Stage Multi-dimensional Root-Cause Analysis of Network Anomalies

Y Meng, Q Zhang, X Tang, W Zhang… - 2023 IEEE/ACM 31st …, 2023 - ieeexplore.ieee.org
Multi-dimensional Root Cause Analysis (RCA) is often applied to identify abnormal traffic
patterns, ie, localizing the abnormal combination of traffic header fields. Several techniques …