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Using Models at Runtime to Support Adaptable Monitoring of Multi-clouds Applications.

, , , , , and . SYNASC, page 401-408. IEEE Computer Society, (2014)

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Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview., , , , , , , , , and 8 other author(s). ISCC, page 1-4. IEEE, (2021)Using Intrusive Microservices to Enable Deep Customization of Multi-tenant SaaS., and . QUATIC, page 30-37. IEEE Computer Society, (2018)Supporting the Development and Operation of Multi-cloud Applications: The MODAClouds Approach., , , , , , , and . SYNASC, page 417-423. IEEE Computer Society, (2013)A Systematic Mapping Study of Deployment and Orchestration Approaches for IoT., , , , , , and . IoTBDS, page 69-82. SciTePress, (2019)Container-Based Data Pipelines on the Computing Continuum for Remote Patient Monitoring., , , , , and . Computer, 56 (10): 40-48 (October 2023)The preliminary results of a mapping study of deployment and orchestration for IoT., , , , , , and . SAC, page 2040-2043. ACM, (2019)Advances in Deployment and Orchestration Approaches for IoT - A Systematic Review., , , , , , and . ICIOT, page 53-60. IEEE, (2019)ENACT: Development, Operation, and Quality Assurance of Trustworthy Smart IoT Systems., , , , , , , , , and . DEVOPS, volume 11350 of Lecture Notes in Computer Science, page 112-127. Springer, (2018)Model-Driven Development Using UML 2.0: Promises and Pitfalls., , , and . Computer, 39 (2): 59-66 (2006)An MDA®-based framework for model-driven product derivation., , , and . IASTED Conf. on Software Engineering and Applications, page 709-714. IASTED/ACTA Press, (2004)