MetaKube: An Experience-Aware LLM Framework for Kubernetes Failure Diagnosis
研究领域: ML 作者: Wei Sun, Ting Wang, Xinran Tian, Wanshun Lan, Xuhan Feng, Haoyue Li, Fangxin Wang 发布时间: 2026-03-26 arXiv: 2603.23580
论文概要
研究领域: ML 作者: Wei Sun, Ting Wang, Xinran Tian, Wanshun Lan, Xuhan Feng, Haoyue Li, Fangxin Wang 发布时间: 2026-03-26 arXiv: 2603.23580
中文摘要
本研究探索了ML领域的前沿问题。研究团队来自Wei Sun, Ting Wang等。该方法在相关任务中展现了良好的性能和创新性。
原文摘要：Existing LLM-based Kubernetes diagnostic systems cannot learn from operational experience, operating on static knowledge bases without improving from past resolutions. We present MetaKube, an experience-aware LLM framework through three synergistic innovations: an Episodic Pattern Memory Network, a ...
原文摘要
Existing LLM-based Kubernetes diagnostic systems cannot learn from operational experience, operating on static knowledge bases without improving from past resolutions. We present MetaKube, an experience-aware LLM framework through three synergistic innovations: an Episodic Pattern Memory Network, a meta-cognitive controller, and KubeLLM.
*自动采集于 2026-03-27*
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