Automatic Root Cause Analysis via Large Language Models for Cloud Incidents-Reference-Cited by-同舟云学术

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Published:2024-04-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Nineteenth European Conference on Computer Systems
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Author:

Chen Yinfang¹^ORCID,Xie Huaibing²^ORCID,Ma Minghua³^ORCID,Kang Yu⁴^ORCID,Gao Xin⁴^ORCID,Shi Liu⁴^ORCID,Cao Yunjie⁴^ORCID,Gao Xuedong⁴^ORCID,Fan Hao⁴^ORCID,Wen Ming¹^ORCID,Zeng Jun⁴^ORCID,Ghosh Supriyo⁴^ORCID,Zhang Xuchao⁴^ORCID,Zhang Chaoyun⁴^ORCID,Lin Qingwei⁴^ORCID,Rajmohan Saravan⁴^ORCID,Zhang Dongmei⁴^ORCID,Xu Tianyin⁵^ORCID

Affiliation:

1. Huazhong University of Science and Technology

2. Peking University and Microsoft Research Asia

3. National University of Singapore and Microsoft

4. Microsoft

5. University of Illinois at Urbana-Champaign

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3627703.3629553

Reference61 articles.

1. Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

2. Taking the Blame Game out of Data Centers Operations with NetPoirot

3. DeCaf

4. Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al. Language models are few-shot learners. Advances in neural information processing systems (2020).

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