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Demystifying deep learning in predictive monitoring for cloud-native SLOs., , , , , , , , и . CLOUD, стр. 1-11. IEEE, (2023)Osmotic Flow: Osmotic Computing + IoT Workflow., , , , и . IEEE Cloud Comput., 4 (2): 68-75 (2017)CWASI: A WebAssembly Runtime Shim for Inter-Function Communication in the Serverless Edge-Cloud Continuum., и . SEC, стр. 158-170. IEEE, (2023)LEONORE - Large-Scale Provisioning of Resource-Constrained IoT Deployments., , , , , и . SOSE, стр. 78-87. IEEE Computer Society, (2015)Serverless Compute Fabric for Edge-Cloud Continuum: Opportunities and Challenges.. ICEIS, стр. 15. SCITEPRESS, (2023)AttentionFunc: Balancing FaaS Compute across Edge-Cloud Continuum with Reinforcement Learning., и . IoT, стр. 25-32. ACM, (2023)Data and control points: A programming model for resource-constrained iot cloud edge devices., , и . SMC, стр. 3535-3540. IEEE, (2017)MADCAT: A Methodology for Architecture and Deployment of Cloud Application Topologies., , , , , и . SOSE, стр. 13-22. IEEE Computer Society, (2014)Deviceless edge computing: extending serverless computing to the edge of the network., , и . SYSTOR, стр. 28:1. ACM, (2017)iCOMOT - A Toolset for Managing IoT Cloud Systems., , , , , и . MDM (1), стр. 299-302. IEEE Computer Society, (2015)