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Model-Driven Simulation for Performance Engineering of Kubernetes-Style Cloud Cluster Architectures., , , and . ESOCC Workshops, volume 1115 of Communications in Computer and Information Science, page 7-20. Springer, (2018)Adaptive Controller to Identify Misconfigurations and Optimize the Performance of Kubernetes Clusters and IoT Edge Devices., and . ESOCC, volume 14183 of Lecture Notes in Computer Science, page 170-187. Springer, (2023)Detecting and Predicting Anomalies for Edge Cluster Environments using Hidden Markov Models., and . FMEC, page 21-28. IEEE, (2019)DLA: Detecting and Localizing Anomalies in Containerized Microservice Architectures Using Markov Models., and . FiCloud, page 205-213. IEEE, (2019)Autoscaling recovery actions for container-based clusters., and . Concurr. Comput. Pract. Exp., (2021)An Aspect-Oriented Approach for SaaS Application Customization., , and . CoRR, (2014)Self-Healing Misconfiguration of Cloud-Based IoT Systems Using Markov Decision Processes., and . CLOSER, page 244-252. SCITEPRESS, (2023)A Multi-pronged Self-adaptive Controller for Analyzing Misconfigurations for Kubernetes Clusters and IoT Edge Devices., , , and . ESOCC, volume 14183 of Lecture Notes in Computer Science, page 153-169. Springer, (2023)Self-Adaptive Healing for Containerized Cluster Architectures with Hidden Markov Models., and . FMEC, page 68-73. IEEE, (2019)A Containerized Big Data Streaming Architecture for Edge Cloud Computing on Clustered Single-board Devices., , , , and . CLOSER, page 68-80. SciTePress, (2019)