EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction-Reference-Cited by-同舟云学术

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

Published:2023-04-30 Issue: Volume: Page:
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Container-title:Companion Proceedings of the ACM Web Conference 2023
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Author:

Lin Qingwei¹^ORCID,Li Tianci²^ORCID,Zhao Pu¹^ORCID,Liu Yudong¹^ORCID,Ma Minghua¹^ORCID,Zheng Lingling³^ORCID,Chintalapati Murali³^ORCID,Liu Bo⁴^ORCID,Wang Paul⁴^ORCID,Zhang Hongyu⁵^ORCID,Dang Yingnong³^ORCID,Rajmohan Saravan⁶^ORCID,Zhang Dongmei¹^ORCID

Affiliation:

1. Microsoft Research, China

2. Peking University, Microsoft Research, China

3. Microsoft Azure, USA

4. Microsoft 365, China

5. Chongqing University, The University of Newcastle, China

6. Microsoft 365, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3584630

Reference37 articles.

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3. Curriculum learning

4. Predicting Disk Replacement towards Reliable Data Centers

5. Superloss: A generic loss for robust curriculum learning;Castells Thibault;Advances in Neural Information Processing Systems,2020

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