AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866910907033976832 |
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| author | Zhang, Lingzhe Zhai, Yunpeng Jia, Tong Huang, Xiaosong Duan, Chiming Li, Ying |
| author_facet | Zhang, Lingzhe Zhai, Yunpeng Jia, Tong Huang, Xiaosong Duan, Chiming Li, Ying |
| contents | Distributed databases are critical infrastructures for today's large-scale software systems, making effective failure management essential to ensure software availability. However, existing approaches often overlook the role distinctions within distributed databases and rely on small-scale models with limited generalization capabilities. In this paper, we conduct a preliminary empirical study to emphasize the unique significance of different roles. Building on this insight, we propose AgentFM, a role-aware failure management framework for distributed databases powered by LLM-driven multi-agents. AgentFM addresses failure management by considering system roles, data roles, and task roles, with a meta-agent orchestrating these components. Preliminary evaluations using Apache IoTDB demonstrate the effectiveness of AgentFM and open new directions for further research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_06614 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents Zhang, Lingzhe Zhai, Yunpeng Jia, Tong Huang, Xiaosong Duan, Chiming Li, Ying Software Engineering Distributed databases are critical infrastructures for today's large-scale software systems, making effective failure management essential to ensure software availability. However, existing approaches often overlook the role distinctions within distributed databases and rely on small-scale models with limited generalization capabilities. In this paper, we conduct a preliminary empirical study to emphasize the unique significance of different roles. Building on this insight, we propose AgentFM, a role-aware failure management framework for distributed databases powered by LLM-driven multi-agents. AgentFM addresses failure management by considering system roles, data roles, and task roles, with a meta-agent orchestrating these components. Preliminary evaluations using Apache IoTDB demonstrate the effectiveness of AgentFM and open new directions for further research. |
| title | AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2504.06614 |