电子学报2026，Vol.54Issue(3)：1147-1160,14.DOI:10.12263/DZXB.20250440
NetAutoLLM:基于LLM的自主化网络健康管理
NetAutoLLM:Network Autonomous Health Management Based on LLM
摘要
Abstract
In modern network operation and maintenance,reliable network services and system health management are paramount.Traditional network health management solutions relying on machine learning models or rule-based algo-rithms struggle to address complex network communication environments with heterogeneous devices.Large language mod-els(LLMs),with their reasoning and generalization capabilities,offer potential solutions to these challenges.While state-of-the-art LLM-based algorithms have achieved significant progress in network domains,existing approaches typically utilize LLMs merely as tools for feature extraction and learning,where models passively receive data with severely constrained au-tonomy and cognitive capabilities.This limitation hinders direct application of current LLM-based solutions to network op-eration and maintenance tasks.To address this issue,this paper proposes an autonomous network health management frame-work by integrating external behavior trees(BTs)that empower LLMs with network environment perception and modifica-tion capabilities.The framework ensures information authenticity through a dual-pool design distinguishing public and pri-vate information,while employing multi-expert discussions to verify action effectiveness and guarantee successful network maintenance.Experimental results demonstrate that compared to conventional models,network autonomous health manage-ment based on LLM(NetAutoLLM)achieves an 8.44 percentage points improvement in anomaly detection accuracy over mainstream models,and enhances fault localization precision by 21.7 percentage points,while enabling automated fault mit-igation.关键词
大语言模型(LLM)/主动运维/网络健康管理/行为树(BTs)/多专家讨论/双池信息存储Key words
large language models(LLM)/autonomy/network health management/behavioral trees(BTs)/multi-ex-pert discussions/dual-pool information storage分类
信息技术与安全科学引用本文复制引用
唐枫枭,王啸楠,张君健,赵明..NetAutoLLM:基于LLM的自主化网络健康管理[J].电子学报,2026,54(3):1147-1160,14.基金项目
国家自然科学青年基金(No.62302527) （No.62302527）
湖南省自然科学基金(No.2025JJ90177,No.2024JJ9173) （No.2025JJ90177,No.2024JJ9173）
湖南省青年基金(No.2023jj40774) National Natural Science Foundation of China(No.62302527) （No.2023jj40774）
Hunan Provincial Natural Sci-ence Foundation(No.2025JJ90177,2024JJ9173) （No.2025JJ90177,2024JJ9173）
Hunan Provincial Natural Science Foundation(No.2023jj40774) （No.2023jj40774）
