Service-Oriented Computing

Table of Contents

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   Book Overview
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   Chapter 1 Optimization of BPMN Processes via Automated Refactoring
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   Chapter 2 Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data
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   Chapter 3 A Framework for Extracting and Encoding Features from Object-Centric Event Data
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   Chapter 4 Automated RESTful API Service Discovery with Various Interface Features
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   Chapter 5 Enhancing Performance Modeling of Serverless Functions via Static Analysis
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   Chapter 6 Service Regulation: Modeling and Recognition
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   Chapter 7 WebQMon.ai: Gateway-Based Web QoE Assessment Using Lightweight Neural Networks
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   Chapter 8 Temporal-Aware QoS Prediction via Dynamic Graph Neural Collaborative Learning
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    Chapter 9 Mobility-Aware Proactive QoS Monitoring for Mobile Edge Computing
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    Chapter 10 TRQP: Trust-Aware Real-Time QoS Prediction Framework Using Graph-Based Learning
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    Chapter 11 Misty: Microservice-Based Streaming Trajectory Similarity Search
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    Chapter 12 BSDG: Anomaly Detection of Microservice Trace Based on Dual Graph Convolutional Neural Network
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    Chapter 13 SCORE: A Resource-Efficient Microservice Orchestration Model Based on Spectral Clustering in Edge Computing
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    Chapter 14 Combining Static and Dynamic Analysis to Decompose Monolithic Application into Microservices
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    Chapter 15 MicroSketch : Lightweight and Adaptive Sketch Based Performance Issue Detection and Localization in Microservice Systems
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    Chapter 16 Proactive-Reactive Global Scaling, with Analytics
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    Chapter 17 Semantics-Driven Learning for Microservice Annotations
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    Chapter 18 MicroEGRCL: An Edge-Attention-Based Graph Neural Network Approach for Root Cause Localization in Microservice Systems
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    Chapter 19 Mining the Limits of Granularity for Microservice Annotations
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    Chapter 20 Balancing Supply and Demand for Mobile Crowdsourcing Services
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    Chapter 21 Acceptance-Aware Multi-platform Cooperative Matching in Spatial Crowdsourcing
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    Chapter 22 Combining User Inherent and Contextual Preferences for Online Recommendation in Location-Based Services
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    Chapter 23 PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System
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    Chapter 24 TagTag: A Novel Framework for Service Tags Recommendation and Missing Tag Prediction
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    Chapter 25 Non-disclosing Credential On-chaining for Blockchain-Based Decentralized Applications
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    Chapter 26 DeepThought : A Reputation and Voting-Based Blockchain Oracle
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    Chapter 27 Blockchain-Oriented Services Computing in Action: Insights from a User Study
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    Chapter 28 Maximizing Consumer Satisfaction of IoT Energy Services
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    Chapter 29 A Multi-task Learning Approach for Predicting Intentions Using Smart Home IoT Services
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    Chapter 30 Joint Optimization of Trajectory and Frequency in Energy Constrained Multi-UAV Assisted MEC System
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    Chapter 31 Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud
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    Chapter 32 Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning
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    Chapter 33 Extending the Kubernetes Platform with Network-Aware Scheduling Capabilities
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    Chapter 34 DeepSCJD: An Online Deep Learning-Based Model for Secure Collaborative Job Dispatching in Edge Computing
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    Chapter 35 The Extreme Counts: Modeling the Performance Uncertainty of Cloud Resources with Extreme Value Theory
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    Chapter 36 Scalable Discovery and Continuous Inventory of Personal Data at Rest in Cloud Native Systems
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    Chapter 37 Cheops, a Service to Blow Away Cloud Applications to the Edge
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    Chapter 38 GreenFog: A Framework for Sustainable Fog Computing
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    Chapter 39 FedHF: A High Fairness Federated Learning Algorithm Based on Deconfliction in Heterogeneous Networks
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    Chapter 40 A Collaborative Framework for Ad Click-Through Rate Prediction in Mobile App Services
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    Chapter 41 Process-Oriented Intents: A Cornerstone for Superimposition of Natural Language Conversations over Composite Services
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    Chapter 42 A Bi-directional Category-Aware Multi-task Learning Framework for Missing Check-in POI Identification
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    Chapter 43 Performance and Cost-Aware Task Scheduling via Deep Reinforcement Learning in Cloud Environment
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    Chapter 44 IDGL: An Imbalanced Disassortative Graph Learning Framework for Fraud Detection
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    Chapter 45 A Challenge for the Next 50 Years of Automated Service Composition
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    Chapter 46 Quality Engineering in AI Services
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    Chapter 47 Service-Based Wireless Energy Crowdsourcing
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    Chapter 48 Training and Serving Machine Learning Models at Scale