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 Architecture Patterns and Practices. .