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Partitioned Containers: Towards Safe Clouds for Industrial Applications., , , , , and . DSN-S, page 84-88. IEEE, (2023)Achieving Isolation in Mixed-Criticality Industrial Edge Systems with Real-Time Containers (Artifact)., , , and . Dagstuhl Artifacts Ser., 8 (1): 01:1-01:12 (2022)SLA-Driven Software Orchestration in Industry 4.0., , and . IEEE Internet Things Mag., 5 (4): 136-141 (2022)Introducing k4.0s: a Model for Mixed-Criticality Container Orchestration in Industry 4.0., , , and . DASC/PiCom/CBDCom/CyberSciTech, page 1-6. IEEE, (2022)Criticality-aware Monitoring and Orchestration for Containerized Industry 4.0 Environments., , , and . ACM Trans. Embed. Comput. Syst., 23 (1): 5:1-5:28 (January 2024)Achieving Isolation in Mixed-Criticality Industrial Edge Systems with Real-Time Containers., , , and . ECRTS, volume 231 of LIPIcs, page 15:1-15:23. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)RunPHI: Enabling Mixed-criticality Containers via Partitioning Hypervisors in Industry 4.0., , , , , and . ISSRE Workshops, page 134-135. IEEE, (2022)Hierarchical Scheduling for Real-Time Containers in Mixed-Criticality Systems., , and . ISSRE Workshops, page 286-287. IEEE, (2021)Orchestrating Mixed-Criticality Cloud Workloads in Reconfigurable Manufacturing Systems., , and . CoRR, (2024)