TY  - JOUR
T1  - Root Cause Analysis for Microservice Systems Using Anomaly Propagation by Resource Sharing
AU  - Park, Junho 
AU  - Whang, Joyce Jiyoung 
JO  - Journal of KIISE, JOK
PY  - 2025
DA  - 2025/1/14
DO  - 10.5626/JOK.2025.52.4.341
KW  - microservice system
KW  - root cause analysis
KW  - anomaly propagation
KW  - resource-sharing dependency
KW  - causality graph
KW  - resource graph
AB  - Identifying root causes of failures in microservice systems remains a critical challenge due to intricate interactions among resources and propagation of errors. We propose AnoProp, a novel model for root cause analysis to address challenges by capturing inter-resource interactions and the resulting propagation of anomalies. AnoProp incorporates two core techniques: the anomaly score measurement for metrics using regression models and the root cause score evaluation for resources based on the propagation rate of these anomalies. Experimental results using an Online Boutique dataset demonstrated that AnoProp surpassed existing models across various evaluation metrics, validating its ability to provide balanced performance for different types of root causes. This study underscores the potential of AnoProp to enhance system stability and boost operational efficiency in microservice environments.