EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction.

Qingwei Lin|Tianci Li|Pu Zhao|Yudong Liu|Minghua Ma|Lingling Zheng|Murali Chintalapati|Bo Liu|Paul Wang|Hongyu Zhang|Yingnong Dang|Saravan Rajmohan|Dongmei Zhang


Anthology ID:DBLP:conf/www/LinL0LMZCLW0DR023
Volume:Companion 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:371-375
URL:https://doi.org/10.1145/3543873.3584630
DOI:https://doi.org/10.1145/3543873.3584630
DBLP:conf/www/LinL0LMZCLW0DR023
BibTeX:
@inproceedings{lin-2023-edits, author = {Qingwei Lin and Tianci Li and Pu Zhao and Yudong Liu and Minghua Ma and Lingling Zheng and Murali Chintalapati and Bo Liu and Paul Wang and Hongyu Zhang and Yingnong Dang and Saravan Rajmohan and Dongmei Zhang}, editor = {Ying Ding and Jie Tang and Juan F. Sequeda and Lora Aroyo and Carlos Castillo and Geert-Jan Houben}, title = {{EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction}}, booktitle = {{Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}}, pages = {371--375}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3543873.3584630}, doi = {https://doi.org/10.1145/3543873.3584630} }