Service-Oriented Computing

Microservices.- Optimal Evolution Planning and Execution for Multi-Version Coexisting Microservice Systems.- Topology-aware Continuous Experimentation in Microservice-based Applications.- Charting Microservices to Support Services' Developers: the Anaximander Approach.- Fast Replica of Polyglot Persistence in Microservice Architectures for Fog Computing.- On Discovering Data Preparation Modules Using Examples.- Internet of Things.- Accelerate Personalized IoT Service Provision by Cloud-Aided Edge Reinforcement Learning: A Case Study on Smart Lighting.- A game-based secure trading of big data and IoT services: Blockchain as a two-sided market.- A Dynamic Cost Model to Minimize Energy Consumption and Processing Time for IoT Tasks in Mobile Edge Computing Environment.- Automated SLA Negotiation in the IoT Environment - A Metaheuristic Approach.- PATRIoT: A data sharing platform for IoT using a service-oriented approach based on blockchain.- Services at the Edge.- Energy Minimization for Cloud Services with Stochastic Requests.- Scalable Joint Optimization of Placement and Parallelism of Data Stream Processing Applications on Cloud-Edge Infrastructure.- Impact of Service- and Cloud-Based Dynamic Routing Architectures on System Reliability.- Pricing in the Competing Auction-based Cloud Market: A Multi-Agent Deep Deterministic Policy Gradient Approach.- Dynamic Edge User Allocation with User specified QoS preferences.- Fault-tolerating Edge Computing with Server Redundancy based on a Variant of Group Degree Centrality.- TD-EUA: Task-decomposable Edge User Allocation with QoE Optimization.- A Decentralized Reactive Approach to Online Task Offloading in Mobile Edge Computing Environments.- Mobility-Aware Service Placement for Vehicular Users in Edge-Cloud Environment.- Machine Learning for Service Oriented Computing.- Feature-Model-Guided Online Reinforcement Learning for Self-Adaptive Services Metzger.- FAST: A Fairness Assured Service