QoA4ML – A Framework for Supporting Contracts in Machine Learning Services Sharing Blockchain Performance Knowledge for Edge Service Development Measuring, Quantifying, & Predicting the Cost-Accuracy Tradeoff DevOps for Dynamic Interoperability of IoT, Edge and Cloud Systems Dynamic IoT data, protocol, and middleware interoperability with resource slice concepts and tools: tutorial Integrated Analytics for IIoT Predictive Maintenance using IoT Big Data Cloud Systems Modeling and Provisioning IoT Cloud Systems for Testing Uncertainties Characterizing Incidents in Cloud-based IoT Data Analytics Enabling Edge Analytics of IoT Data: The Case of LoRaWAN Analytics of Performance and Data Quality for Mobile Edge Cloud Applications Testing Uncertainty of Cyber-Physical Systems in IoT Cloud Infrastructures: Combining Model-Driven Engineering and Elastic Execution Deep Context-Awareness: Context Coupling and New Types of Context Information in the IoT Cloud World Managing and Testing Ensembles of IoT, Network functions, and Clouds Towards a Resource Slice Interoperability Hub for IoT On Supporting Contract-aware IoT Dataspace Services 
