---
id: 20260306-T0-16
title: "AOI利用失败轨迹优化云诊断"
title_en: "AOI Optimizes Cloud Diagnostics Using Failure Traces"
url: https://ai.daily.yangsir.net/daily/20260306-T0-16
issue_date: 2026-03-06
publish_date: 2026-03-05T05:00:00.000Z
source_name: "arXiv cs.LG (ML)"
source_url: https://arxiv.org/abs/2603.03378
---

# AOI利用失败轨迹优化云诊断

arXiv论文（编号2603.03378）提出AOI方法，利用大语言模型处理云服务故障失败轨迹。该方法解决了三大问题：私有数据访问限制、不安全操作执行、幻觉风险。测试显示，AOI在AWS故障诊断任务中准确率达89%，比传统方法提升25%。企业部署此系统可减少40%的云故障排查时间，提高运维效率。

## English Version

**AOI Optimizes Cloud Diagnostics Using Failure Traces**

arXiv paper 2603.03378 presents AOI, an LLM-based method that uses cloud service failure traces for diagnostics. It solves three key issues: private data access restrictions, unsafe operations, and hallucination risks. AOI achieves 89% accuracy in AWS fault diagnosis, a 25% improvement over traditional methods. Enterprises can reduce cloud troubleshooting time by 40% and improve operational efficiency with this system.

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**来源**：[arXiv cs.LG (ML)](https://arxiv.org/abs/2603.03378)

**详情页**：https://ai.daily.yangsir.net/daily/20260306-T0-16

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