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AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents

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arxiv 2504.06614 v1 pith:YGCDIZAB submitted 2025-04-09 cs.SE

Lingzhe Zhang , Yunpeng Zhai , Tong Jia , Xiaosong Huang , Chiming Duan , Ying Li This is my paper
classification cs.SE
keywords agentfmdatabasesdistributedfailuremanagementrolesllm-drivenmulti-agents
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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.

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Cited by 3 Pith papers

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