Triple:The Interpretable Deep Learning Anomaly Detection Framework based on Trace-Metric-Log of Microservice

Rui Ren, Yang Wang, Fengrui Liu, Zhenyu Li 0001, Gaogang Xie. Triple:The Interpretable Deep Learning Anomaly Detection Framework based on Trace-Metric-Log of Microservice. In 31st IEEE/ACM International Symposium on Quality of Service, IWQoS 2023, Orlando, FL, USA, June 19-21, 2023. pages 1-10, IEEE, 2023. [doi]

@inproceedings{RenWLLX23,
  title = {Triple:The Interpretable Deep Learning Anomaly Detection Framework based on Trace-Metric-Log of Microservice},
  author = {Rui Ren and Yang Wang and Fengrui Liu and Zhenyu Li 0001 and Gaogang Xie},
  year = {2023},
  doi = {10.1109/IWQoS57198.2023.10188773},
  url = {https://doi.org/10.1109/IWQoS57198.2023.10188773},
  researchr = {https://researchr.org/publication/RenWLLX23},
  cites = {0},
  citedby = {0},
  pages = {1-10},
  booktitle = {31st IEEE/ACM International Symposium on Quality of Service, IWQoS 2023, Orlando, FL, USA, June 19-21, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-9973-8},
}