Trace-based Multi-Dimensional Root Cause Localization of Performance Issues in Microservice Systems
Modern microservice systems have become increasingly complicated due to the dynamic
and complex interactions and runtime environment. It leads to the system vulnerable to …
and complex interactions and runtime environment. It leads to the system vulnerable to …
Forecasting the Impact of Anomalous Events on Business Process Performance
The performance of business processes such as order fulfillment, is measured and
monitored in terms of Key Performance Indicators (KPIs) measured at periodic time intervals …
monitored in terms of Key Performance Indicators (KPIs) measured at periodic time intervals …
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 …
patterns, ie, localizing the abnormal combination of traffic header fields. Several techniques …
TopoRCA: A Lightweight Root Cause Analysis System Based on Application Topology
Y Huang, J Zhang, X Chai, Y Sun - 2024 27th International …, 2024 - ieeexplore.ieee.org
The advent of the cloud-native era, driven by technologies like cloud computing, big data,
and virtualization, has promoted the widespread adoption of microservices architecture in …
and virtualization, has promoted the widespread adoption of microservices architecture in …