Causal Inference Techniques for Microservice Performance Diagnosis: Evaluation and Guiding Recommendations

Author:

Wu Li,Tordsson Johan,Elmroth Erik,Kao Odej

Publisher

IEEE

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Web service fault diagnosis based on graph convolutional networks;Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024);2024-07-05

2. MicroMCM: Fine-grained Root Cause Localization for Microservice Systems Based on Multiple Causal Inference Methods;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08

3. Identifying Performance Issues in Microservice Architectures through Causal Reasoning;Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024);2024-04-15

4. Automated functional and robustness testing of microservice architectures;Journal of Systems and Software;2024-01

5. MetricSifter: Feature Reduction of Multivariate Time Series Data for Efficient Fault Localization in Cloud Applications;IEEE Access;2024

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