KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices.
Qin Hua|Dingyu Yang|Shiyou Qian|Hanwen Hu|Jian Cao|Guangtao Xue
| Anthology ID: | DBLP:conf/www/HuaYQH0X23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1551-1561 |
| URL: | https://doi.org/10.1145/3543507.3583288 |
| DOI: | https://doi.org/10.1145/3543507.3583288 |
| DBLP: | conf/www/HuaYQH0X23 |
| BibTeX: |
@inproceedings{hua-2023-kaeinformer,
author = {Qin Hua and
Dingyu Yang and
Shiyou Qian and
Hanwen Hu and
Jian Cao and
Guangtao Xue},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {1551--1561},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583288},
doi = {https://doi.org/10.1145/3543507.3583288}
}