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Service-Oriented Computing = 18th In...
~
Martinelli, Fabio.
Service-Oriented Computing = 18th International Conference, ICSOC 2020, Dubai, United Arab Emirates, December 14–17, 2020, Proceedings /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Service-Oriented Computing/ edited by Eleanna Kafeza, Boualem Benatallah, Fabio Martinelli, Hakim Hacid, Athman Bouguettaya, Hamid Motahari.
Reminder of title:
18th International Conference, ICSOC 2020, Dubai, United Arab Emirates, December 14–17, 2020, Proceedings /
other author:
Kafeza, Eleanna.
Description:
XXV, 599 p. 199 illus., 150 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Application software. -
Online resource:
https://doi.org/10.1007/978-3-030-65310-1
ISBN:
9783030653101
Service-Oriented Computing = 18th International Conference, ICSOC 2020, Dubai, United Arab Emirates, December 14–17, 2020, Proceedings /
Service-Oriented Computing
18th International Conference, ICSOC 2020, Dubai, United Arab Emirates, December 14–17, 2020, Proceedings /[electronic resource] :edited by Eleanna Kafeza, Boualem Benatallah, Fabio Martinelli, Hakim Hacid, Athman Bouguettaya, Hamid Motahari. - 1st ed. 2020. - XXV, 599 p. 199 illus., 150 illus. in color.online resource. - Programming and Software Engineering ;12571. - Programming and Software Engineering ;8987.
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. .
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.
ISBN: 9783030653101
Standard No.: 10.1007/978-3-030-65310-1doiSubjects--Topical Terms:
528147
Application software.
LC Class. No.: QA76.76.A65
Dewey Class. No.: 004
Service-Oriented Computing = 18th International Conference, ICSOC 2020, Dubai, United Arab Emirates, December 14–17, 2020, Proceedings /
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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. .
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