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

作者：Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Xiaosong Huang, Chiming Duan, Ying Li · 年份：2025 · DOI：10.1145/3696630.3728492 · 被引用次数：9 · 研究领域：Distributed systems and fault tolerance、Advanced Database Systems and Queries、Service-Oriented Architecture and Web Services

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.