Intro -- Preface -- Organization -- Contents -- Serverless Edge Computing -- Scheduling Workflow Instances to Servers and Serverless Functions in Cloud/Edge Data Centers -- 1 Introduction -- 2 Related Works -- 3 Problem Formulation -- 4 Proposed Algorithm -- 4.1 The Properties of the Considered Problem -- 4.2 Schedule Improvement in a Serverless Configuration -- 4.3 Schedule Improvement in a Server Configuration -- 5 Experimental Results -- 5.1 Experimental Settings -- 5.2 Comparison and Analysis of Algorithms -- 6 Conclusions -- References
QoS Accurate Matching Algorithm Based on Service Resource Scheduling on Cloud Platform and Its Application -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Problem Description -- 3.2 Dynamic Evaluation Model -- 3.3 QoS Accurate Matching Algorithm Baesed on Service Resource Scheduling -- 4 Cases and Analysis -- 5 Conclusion -- References -- Environment-Aware Work Load Prediction in Edge Computing -- 1 Introduction -- 2 Related Work -- 3 Problem Description -- 4 Proposed Approach -- 4.1 Environment-Aware Temporal Graph Convolutional Networks -- 5 Experiments -- 5.1 Experimental Results
6 Conclusion -- References -- Hybrid Task Offloading for Serverless Computing in the Multi-edge-to-Cloud Environment -- 1 Introduction -- 2 Related Works -- 3 System Model -- 4 Hybrid Offloading Algorithm -- 4.1 Task Sorting -- 4.2 Offloading Decision -- 4.3 Function Replacement -- 5 Experiments -- 5.1 Experimental Settings -- 5.2 Experimental Results and Evaluations -- 6 Conclusion -- References -- Improving IoT Services Through Business-Process-Aligned Modeling Method -- 1 Introduction -- 2 Related Work -- 2.1 IoT Service Modeling Methods
2.2 Business-Process-Aligned Modeling Methods for IoT Services -- 3 IoT Service Modeling -- 3.1 IoT Service Architecture Model -- 3.2 IoT Service Model -- 4 Binding IoT Service to Business Process -- 5 Experiments -- 5.1 Experimental Environment -- 5.2 Experimental Results -- 6 Conclusion -- References -- Edge Services Reliability -- Research on Cascading Failure of Complex Networks Based on Edge Weight and Capacity Allocation Strategy -- 1 Introduction -- 2 Cascading Failure Model for Complex Networks -- 2.1 Edge-Based Cascading Failure Model
2.2 Dynamic Evolution Process of Cascading Failures in Complex Networks -- 3 Research on the Invulnerability of Complex Networks Against Cascading Failures -- 3.1 Improved Edge Surplus Capacity Optimization Strategy -- 3.2 Metrics -- 3.3 Numerical Simulation -- 4 Conclusion -- References -- IoT Service Runtime Fault Tolerance Mechanism Based on Flink Dynamic Checkpoint -- 1 Introduction -- 2 Related Work -- 3 On-Demand Dynamic Checkpoint Fault Tolerance -- 3.1 System Efficiency Model -- 3.2 On-Demand Dynamic Checkpoint Algorithm -- 4 Experiment
Summary
This book constitutes selected papers presented at the 16th International Conference on Service Science, ICSS 2023, held in Harbin, China, in May 2023. The 36 full papers and 2 short papers presented were thoroughly reviewed and selected from the 71 submissions. They are organized in the following topical sections: serverless edge computing; edge services reliability; intelligent services; service application; knowledge-inspired service; service ecosystem; graph-based service optimization; AI-inspired service optimization
Notes
International conference proceedings
Includes author index
Online resource; title from PDF title page (SpringerLink, viewed July 31, 2023)
