标题： 基于代理人工智能和MAPE-K集成的自主微服务管理 显示英文标题

标题： Autonomic Microservice Management via Agentic AI and MAPE-K Integration

摘要： 虽然微服务通过提供无与伦比的可扩展性和独立部署正在革新云计算，但其去中心化特性带来了重大的安全和管理挑战，可能会威胁系统稳定性。 我们提出了一种基于MAPE-K的框架，该框架利用代理人工智能，实现自主异常检测和修复，以应对高度分布式系统管理的艰巨任务。 我们的框架为保持强大且安全的微服务提供了实用、可投入工业应用的解决方案。 从业者和研究人员可以自定义该框架，以提高系统稳定性，减少停机时间，并监控更广泛的系统质量属性，如系统性能水平、弹性、安全性以及异常管理等。 显示英文摘要

摘要： While microservices are revolutionizing cloud computing by offering unparalleled scalability and independent deployment, their decentralized nature poses significant security and management challenges that can threaten system stability. We propose a framework based on MAPE-K, which leverages agentic AI, for autonomous anomaly detection and remediation to address the daunting task of highly distributed system management. Our framework offers practical, industry-ready solutions for maintaining robust and secure microservices. Practitioners and researchers can customize the framework to enhance system stability, reduce downtime, and monitor broader system quality attributes such as system performance level, resilience, security, and anomaly management, among others.