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Information Modelling and Semantic Linking for a Software Workbench for Interactive, Time Critical and Self-Adaptive Cloud Applications.

, , , , , , , , , , and . AINA Workshops, page 127-132. IEEE Computer Society, (2016)

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Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review., , , , and . J. Syst. Softw., (2018)A Network Edge Monitoring Approach for Real-Time Data Streaming Applications., , , , and . GECON, volume 10382 of Lecture Notes in Computer Science, page 293-303. Springer, (2016)Quality of Service Assurance for Internet of Things Time-Critical Cloud Applications: Experience with the Switch and Entice Projects., and . IIAI-AAI, page 289-294. IEEE Computer Society, (2017)A Capillary Computing Architecture for Dynamic Internet of Things: Orchestration of Microservices from Edge Devices to Fog and Cloud Providers., , and . Sensors, 18 (9): 2938 (2018)Auto-scaling Applications in Edge Computing: Taxonomy and Challenges., and . BDIOT, page 158-163. ACM, (2017)PrEstoCloud: A Novel Framework for Data-Intensive Multi-Cloud, Fog, and Edge Function-as-a-Service Applications., , , , , , , and . Inf. Resour. Manag. J., 34 (1): 66-85 (2021)Dynamic Multi-level Auto-scaling Rules for Containerized Applications., and . Comput. J., 62 (2): 174-197 (2019)Key influencing factors of the Kubernetes auto-scaler for computing-intensive microservice-native cloud-based applications., and . Adv. Eng. Softw., (2020)A Semantic Model for Interchangeable Microservices in Cloud Continuum Computing., , , , and . Inf., 12 (1): 40 (2021)Implementing time-critical functionalities with a distributed adaptive container architecture., , , and . iiWAS, page 453-457. ACM, (2016)