AIOpsLab in Action: An Open Platform for AIOps Research
The significant advances in AI have been driving a blooming landscape of research on developing AI agents for various kinds of cloud system operations, which is often referred to as AIOps. For example, AI-based fault detection, root cause analysis, and failure mitigation have been a hot topic in recent years with many research papers published at Software Engineering conferences like FSE, ICSE, ASE, and ISSTA. However, AIOps research today faces major practical challenges such as benchmarking, workload simulation, and reproducibility.
Authors
- Jackson Clark (ORCID: https://orcid.org/0009-0009-4253-6472)
- Minghua Ma (ORCID: https://orcid.org/0000-0002-6303-1731)
- Shenglin Zhang (ORCID: https://orcid.org/0000-0003-0330-0028)
Institutions
- Microsoft (United States) (US)
- University of Illinois Urbana-Champaign (US)
- Nankai University (CN)
Publication Details
- Published
- 2025-06-23
- DOI
- https://doi.org/10.1145/3696630.3728619
- Primary Topic
- Software System Performance and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00