Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning

Author:

Weyns Danny,Schmerl Bradley,Kishida Masako,Leva Alberto,Litoiu Marin,Ozay Necmiye,Paterson Colin,Tei Kenji

Publisher

IEEE

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Anunnaki: A Modular Framework for Developing Trusted Artificial Intelligence;ACM Transactions on Autonomous and Adaptive Systems;2024-09-13

2. Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework;ACM Transactions on Autonomous and Adaptive Systems;2024-09-13

3. Leveraging Large Language Models for the Auto-remediation of Microservice Applications: An Experimental Study;Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering;2024-07-10

4. Closing the Loop: Building Self-Adaptive Software for Continuous Performance Engineering;Companion of the 15th ACM/SPEC International Conference on Performance Engineering;2024-05-07

5. A novel continual reinforcement learning-based expert system for self-optimization of soft real-time systems;Expert Systems with Applications;2024-03

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