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Blockchain-based schemes for continuous verifiability and traceability of IoT data., , , and . PDP, page 169-172. IEEE, (2023)A Microservice-Based Building Block Approach for Scientific Workflow Engines: Processing Large Data Volumes with DagOnStar., , , and . SITIS, page 368-375. IEEE, (2019)On the building of efficient self-adaptable health data science services by using dynamic patterns., , , , and . Future Gener. Comput. Syst., (August 2023)On the Efficient Delivery and Storage of IoT Data in Edge-Fog-Cloud Environments., , , , and . Sensors, 22 (18): 7016 (2022)From the edge to the cloud: A continuous delivery and preparation model for processing big IoT data., , , , , , and . Simul. Model. Pract. Theory, (2020)FedFlow: a federated platform to build secure sharing and synchronization services for health dataflows., , , and . Computing, 105 (5): 1019-1037 (May 2023)SecMesh: An efficient information security method for stream processing in edge-fog-cloud., , , , , and . CCIOT, page 8-16. ACM, (2022)PuzzleMesh: A Puzzle Model to Build Mesh of Agnostic Services for Edge-Fog-Cloud., , , , , and . IEEE Trans. Serv. Comput., 16 (2): 1334-1345 (March 2023)eScience Serverless Data Storage Services in the Edge-Fog-Cloud Continuum., , , and . e-Science, page 1-4. IEEE, (2023)A novel approach for large-scale environmental data partitioning on cloud and on-premises storage for compute continuum applications., , , , , , , , and . Concurr. Comput. Pract. Exp., (2023)