Service-Oriented Computing

TRAMA

This book constitutes the proceedings of the 18th International Conference on Service-Oriented Computing, ICSOC 2020, which was planned to take place in Dubai, UAE, during December 14-17, 2020. Due to the COVID-19 pandemic the conference was held online. The 23 full, 16 short, and 3 industry papers included in this volume were carefully reviewed and selected from 137 submissions. They were organized in topical sections named: microservices; Internet of Things; services at the edge; machine learning for service oriented computing; smart data and smart services; service oriented technology trends; industry papers.

SOMMARIO

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.  

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783030653095
• Collana: Lecture Notes in Computer Science
• Dimensioni: 235 x 155 mm Ø 949 gr
• Formato: Brossura
• Illustration Notes: XXV, 599 p. 199 illus., 150 illus. in color.
• Pagine Arabe: 599
• Pagine Romane: xxv