Evaluating Edge Computing Architectures for Real-Time IoT Data Processing in Smart Cities

1. Introduction 2. Fundamentals of Edge Computing 2.1 Definition and Key Concepts 2.2 Comparison with Cloud Computing 2.3 Relevance in Smart Cities 3. Internet of Things in Smart Cities 3.1 Overview of IoT Applications 3.2 Challenges in IoT Data Processing 3.3 Importance of Real-Time Processing 4. Edge Computing Architectures 4.1 Basic Architecture Models 4.2 Edge-Cloud Collaboration 4.3 Case Studies in Smart Cities 5. Real-Time Data Processing Techniques 5.1 Data Stream Processing 5.2 Machine Learning at the Edge 5.3 Network Optimization Strategies 6. Evaluation Criteria for Architectures 6.1 Performance Metrics 6.2 Latency and Reliability 6.3 Scalability and Flexibility 7. Comparative Analysis of Architectures 7.1 methodology of comparison 7.2 Comparative Results 7.3 Discussion and Implications 8. Conclusion and Future Directions 8.1 Summary of Key Findings 8.2 Limitations of Current Architectures 8.3 Future Research Opportunities