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} }