Short-Term Performance Metrics Forecasting for Virtual Machine to Support Anomaly Detection Using Hybrid ARIMA-WNN Model

Juan Qiu, Qingfeng Du, Wei Wang, Kanglin Yin, Liang Chen. Short-Term Performance Metrics Forecasting for Virtual Machine to Support Anomaly Detection Using Hybrid ARIMA-WNN Model. In Vladimir Getov, Jean-Luc Gaudiot, Nariyoshi Yamai, Stelvio Cimato, J. Morris Chang, Yuuichi Teranishi, Ji-Jiang Yang, Hong Va Leong, Hossain Shahriar, Michiharu Takemoto, Dave Towey, Hiroki Takakura, Atilla Elçi, Susumu Takeuchi, Satish Puri, editors, 43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019, Milwaukee, WI, USA, July 15-19, 2019, Volume 2. pages 330-335, IEEE, 2019. [doi]

@inproceedings{QiuDWYC19,
  title = {Short-Term Performance Metrics Forecasting for Virtual Machine to Support Anomaly Detection Using Hybrid ARIMA-WNN Model},
  author = {Juan Qiu and Qingfeng Du and Wei Wang and Kanglin Yin and Liang Chen},
  year = {2019},
  doi = {10.1109/COMPSAC.2019.10228},
  url = {https://doi.org/10.1109/COMPSAC.2019.10228},
  researchr = {https://researchr.org/publication/QiuDWYC19},
  cites = {0},
  citedby = {0},
  pages = {330-335},
  booktitle = {43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019, Milwaukee, WI, USA, July 15-19, 2019, Volume 2},
  editor = {Vladimir Getov and Jean-Luc Gaudiot and Nariyoshi Yamai and Stelvio Cimato and J. Morris Chang and Yuuichi Teranishi and Ji-Jiang Yang and Hong Va Leong and Hossain Shahriar and Michiharu Takemoto and Dave Towey and Hiroki Takakura and Atilla Elçi and Susumu Takeuchi and Satish Puri},
  publisher = {IEEE},
  isbn = {978-1-7281-2607-4},
}