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Technological Perspective of Data Governance in Data Space Ecosystems., , , and . Data Spaces, Springer, (2022)Pangea: An MLOps Tool for Automatically Generating Infrastructure and Deploying Analytic Pipelines in Edge, Fog and Cloud Layers., , , and . Sensors, 22 (12): 4425 (2022)Orfeon: An AIOps framework for the goal-driven operationalization of distributed analytical pipelines., , , and . Future Gener. Comput. Syst., (2023)K2E: Building MLOps Environments for Governing Data and Models Catalogues while Tracking Versions., , , and . ICSA Companion, page 206-209. IEEE, (2022)Towards an architecture for big data analytics leveraging edge/fog paradigms., , and . ECSA (Companion), page 173-176. ACM, (2019)Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing., , , , , and . CIIS, page 85-90. ACM, (2023)Optimization and Prediction Techniques for Self-Healing and Self-Learning Applications in a Trustworthy Cloud Continuum., , , , , , and . Inf., 12 (8): 308 (2021)A Joint Study of the Challenges, Opportunities, and Roadmap of MLOps and AIOps: A Systematic Survey., , , , and . ACM Comput. Surv., 56 (4): 84:1-84:30 (April 2024)Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations., , , , , and . CoRR, (2024)PIACERE project: description and prototype for optimizing infrastructure as code deployment configurations., , , , , , and . GECCO Companion, page 71-72. ACM, (2022)