Inferring Anomalies from Cloud Metrics Using Recurrent Neural Networks

Spyridon Chouliaras, Stelios Sotiriadis. Inferring Anomalies from Cloud Metrics Using Recurrent Neural Networks. In Leonard Barolli, Hsing-Chung Chen, Tomoya Enokido, editors, Advances in Networked-Based Information Systems - The 24th International Conference on Network-Based Information Systems (NBiS-2021), Taichung, Taiwan, 1-3 September, 2021. Volume 313 of Lecture Notes in Networks and Systems, pages 154-164, Springer, 2021. [doi]

@inproceedings{ChouliarasS21-0,
  title = {Inferring Anomalies from Cloud Metrics Using Recurrent Neural Networks},
  author = {Spyridon Chouliaras and Stelios Sotiriadis},
  year = {2021},
  doi = {10.1007/978-3-030-84913-9_14},
  url = {https://doi.org/10.1007/978-3-030-84913-9_14},
  researchr = {https://researchr.org/publication/ChouliarasS21-0},
  cites = {0},
  citedby = {0},
  pages = {154-164},
  booktitle = {Advances in Networked-Based Information Systems - The 24th International Conference on Network-Based Information Systems (NBiS-2021), Taichung, Taiwan, 1-3 September, 2021},
  editor = {Leonard Barolli and Hsing-Chung Chen and Tomoya Enokido},
  volume = {313},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-030-84913-9},
}