Non-Intrusive Anomaly Detection With Streaming Performance Metrics and Logs for DevOps in Public Clouds: A Case Study in AWS

Daniel Sun, Min Fu, Liming Zhu, Guoqiang Li 0001, Qinghua Lu. Non-Intrusive Anomaly Detection With Streaming Performance Metrics and Logs for DevOps in Public Clouds: A Case Study in AWS. IEEE Trans. Emerging Topics Comput., 4(2):278-289, 2016. [doi]

@article{SunFZ0L16,
  title = {Non-Intrusive Anomaly Detection With Streaming Performance Metrics and Logs for DevOps in Public Clouds: A Case Study in AWS},
  author = {Daniel Sun and Min Fu and Liming Zhu and Guoqiang Li 0001 and Qinghua Lu},
  year = {2016},
  doi = {10.1109/TETC.2016.2520883},
  url = {http://doi.ieeecomputersociety.org/10.1109/TETC.2016.2520883},
  researchr = {https://researchr.org/publication/SunFZ0L16},
  cites = {0},
  citedby = {0},
  journal = {IEEE Trans. Emerging Topics Comput.},
  volume = {4},
  number = {2},
  pages = {278-289},
}