Service-Oriented Computing

This item is printed on demand - Print on Demand Titel. Neuware -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 ¿Recommendation Strategy Considering Service ¿Capacity Constraint.- Real-time Automatic Configuration Tuning for Smart ¿Manufacturing with Federated Deep Learning.- A Trust and Energy-Aware Double Deep ¿Reinforcement Learning Scheduling Strategy for ¿Federated Learning on IoT Devices.- Smart Data and Smart Services.- A Spectrum of Entropy-Based Precision and ¿Recall Measurements Between Partially ¿Matching Designed and Observed Processes.- A Knowledge Graph based Approach for Mobile ¿Application Recommendation.- ICS-Assist: Intelligent Customer Inquiry ¿Resolution Recommendation in Online Customer ¿Service for Large E-Commerce Businesses.- Detecting User Significant Intention via ¿Sentiment-Preference Correlation Analysis for ¿Continues App Improvement.- Fine-Grained Task Distribution for Mobile ¿Sensor Networks with Agent Cooperation ¿Relationship.- Allocation Priority Policies for Serverless ¿Function-execution Scheduling Optimisation.- Adaptive Recollected RNN for Workload Forecasting in Database-as-a-Service.- Exploring Interpretability for Predictive Process Analytics.- Designing Optimal Robotic Process Automation Architectures.- Service Oriented Technology Trends.- RESTest: Black-Box Constraint-Based Testing of ¿RESTful Web APIs.- A Type-Sensitive Service Identification ¿Approach for Legacy-to-SOA Migration.- Automated Quality Assessment of Incident Tickets for Smart Service Continuity.- API-Prefer: An API Package Recommender System based on Composition Feature Learning.- Tail-Latency-Aware Fog Application Replica ¿Placement.- Two-Sided Matching Scheduling using Multi-Level Look-Ahead Queue of Supply and Demand.- A Practice-Oriented, Control-Flow-Based Anomaly Detection Approach for Internal Process Audits.- Industry papers.- Latest Image Recommendation Method for Automatic Base Image Update in Dockerfile.- Online Topic Modeling for Short Texts.- Metrics for Assessing Architecture Conformance to Microservice ArcSpring.…