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.
@article{arxiv.2504.06614,
title = {AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents},
author = {Lingzhe Zhang and Yunpeng Zhai and Tong Jia and Xiaosong Huang and Chiming Duan and Ying Li},
journal= {arXiv preprint arXiv:2504.06614},
year = {2025}
}