Service-Oriented Computing

Microservices.- Optimal Evolution Planning and Execution for âMulti-Version Coexisting Microservice Systems.- Topology-aware Continuous Experimentation âin 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 âCloud-Aided Edge Reinforcement Learning: A âCase Study on Smart Lighting.- A game-based secure trading of big data âand IoT services: Blockchain as a two-sided âmarket.- 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 âStochastic Requests.- Scalable Joint Optimization of Placement and âParallelism of Data Stream Processing Applications âon 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 âServer Redundancy based on a Variant of âGroup Degree Centrality.- TD-EUA: Task-decomposable Edge User âAllocation with QoE Optimization.- A Decentralized Reactive Approach to Online Task âOffloading in Mobile Edge Computing Environments.- Mobility-Aware Service Placement for Vehicular âUsers in Edge-Cloud Environment.- Machine Learning for Service Oriented Computing.- Feature-Model-Guided Online Reinforcement âLearning for Self-Adaptive Services Metzger.- FAST: A Fairness Assured Service âRecommendation Strategy Considering Service âCapacity Constraint.- Real-time Automatic Configuration Tuning for Smart âManufacturing with Federated Deep Learning.- A Trust and Energy-Aware Double Deep âReinforcement Learning Scheduling Strategy for âFederated Learning on IoT Devices.- Smart Data and Smart Services.- A Spectrum of Entropy-Based Precision and âRecall Measurements Between Partially âMatching Designed and Observed Processes.- A Knowledge Graph based Approach for Mobile âApplication Recommendation.- ICS-Assist: Intelligent Customer Inquiry âResolution Recommendation in Online Customer âService for Large E-Commerce Businesses.- Detecting User Significant Intention via âSentiment-Preference Correlation Analysis for âContinues App Improvement.- Fine-Grained Task Distribution for Mobile âSensor Networks with Agent Cooperation âRelationship.- Allocation Priority Policies for Serverless âFunction-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 âRESTful Web APIs.- A Type-Sensitive Service Identification âApproach 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 âPlacement.- 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 Mode