Localizing and Explaining Faults in Microservices Using Distributed Tracing
Author:
Affiliation:
1. IBM Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9860274/9860367/09860589.pdf?arnumber=9860589
Reference30 articles.
1. Live Forensics for HPC Systems: A Case Study on Distributed Storage Systems
2. Microscope: Pinpoint Performance Issues with Causal Graphs in Micro-service Environments
3. MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems
4. Root cause detection in a service-oriented architecture
5. Dependency-aware fault diagnosis with metric-correlation models in enterprise software systems
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1. TraStrainer: Adaptive Sampling for Distributed Traces with System Runtime State;Proceedings of the ACM on Software Engineering;2024-07-12
2. MetricSifter: Feature Reduction of Multivariate Time Series Data for Efficient Fault Localization in Cloud Applications;IEEE Access;2024
3. Graph-Based Root Cause Localization in Microservice Systems with Protection Mechanisms;International Journal of Software Engineering and Knowledge Engineering;2023-07-19
4. A Trace-Log-Clusterings-Based Fault Localization Approach to Microservice Systems;2023 IEEE International Conference on Web Services (ICWS);2023-07
5. The Art of Breaking Down;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-06-30
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