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