KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices

Qin Hua, Dingyu Yang, Shiyou Qian, Hanwen Hu, Jian Cao 0001, Guangtao Xue. KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices. In Ying Ding 0001, Jie Tang 0001, Juan F. Sequeda, Lora Aroyo, Carlos Castillo 0001, Geert-Jan Houben, editors, Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023- 4 May 2023. pages 1551-1561, ACM, 2023. [doi]

@inproceedings{HuaYQH0X23,
  title = {KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices},
  author = {Qin Hua and Dingyu Yang and Shiyou Qian and Hanwen Hu and Jian Cao 0001 and Guangtao Xue},
  year = {2023},
  doi = {10.1145/3543507.3583288},
  url = {https://doi.org/10.1145/3543507.3583288},
  researchr = {https://researchr.org/publication/HuaYQH0X23},
  cites = {0},
  citedby = {0},
  pages = {1551-1561},
  booktitle = {Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023- 4 May 2023},
  editor = {Ying Ding 0001 and Jie Tang 0001 and Juan F. Sequeda and Lora Aroyo and Carlos Castillo 0001 and Geert-Jan Houben},
  publisher = {ACM},
  isbn = {978-1-4503-9416-1},
}