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Acto: Automatic End-to-End Testing for Operation Correctness of Cloud System Management
Open accessAbstract
Cloud systems are increasingly being managed by operation programs termed operators, which automate tedious, human-based operations. Operators of modern management platforms like Kubernetes, Twine, and ECS implement declarative interfaces based on the state-reconciliation principle. An operation declares a desired system state and the operator automatically reconciles the system to that declared state.
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“trusted systems leave traces that can be reviewed, act with care during uncertainty, and recover when things go off plan [72], [11], [105], [4].”
From Large language models for agentic NetOps and AIOps: Architectures, evaluation, and safety (2027) · cites this paper as [105]
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“Online evaluation becomes necessary once an agent proposes actions, because action quality depends on the behaviour of the system being changed [105], [41], [146].”
From Large language models for agentic NetOps and AIOps: Architectures, evaluation, and safety (2027) · cites this paper as [105]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“Captures real-world dynamics and recovery readiness [11], [105]”
From Large language models for agentic NetOps and AIOps: Architectures, evaluation, and safety (2027) · cites this paper as [105]
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“Once an agent proposes mitigations (restart, failover, throttling, config toggle), the system becomes a socio-technical control loop.The failure mode is no longer wrong answer but wrong change at the wrong time [4], [72], [105], [85].”
From Large language models for agentic NetOps and AIOps: Architectures, evaluation, and safety (2027) · cites this paper as [105]
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Cites
Large-scale cluster management at Google with Borg
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Metadata
- Authors
- Gu, J. T., Sun, X., Zhang, W., Jiang, Y., Wang, C., Vaziri, M., Legunsen, O., & Xu, T.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- IBM (United States) (US)
- Cornell University (US)
- ORCID
- Venue
- Proceedings of the 29th Symposium on Operating Systems Principles
- Publisher
- ACM
- Published
- 2023-10-23
- Pages
- 96-112
- OpenAlex
- W4387321514
- Cited by
- 22
- References
- 1
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 7
- FWCI
- 4.26
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ACM SIGOPS Symposium on Operating Systems Principles (SOSP) (publishedVersion)
- Funders
- National Science Foundation (CNS 2145295)
- Topics
- Physical Sciences › Computer Science › Software › Software Testing and Debugging Techniques
- Physical Sciences › Computer Science › Computer Networks and Communications › Software System Performance and Reliability
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Keywords
- end-to-end testing, operators, Kubernetes, Twine, automatic operation
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- Gu, J. T., Sun, X., Zhang, W., Jiang, Y., Wang, C., Vaziri, M., Legunsen, O., & Xu, T. (2023). Acto: Automatic End-to-End Testing for Operation Correctness of Cloud System Management. Proceedings of the 29th Symposium on Operating Systems Principles. https://doi.org/10.1145/3600006.3613161
