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Interactive checklist for every phase of your thesis
1. Introduction 2. Background and Literature Review 2.1. Overview of Edge Computing 2.2. Real-Time Data Processing in IoT Systems 2.3. Current Trends in IoT Architecture 2.4. Challenges in Real-Time Data Processing 2.5. Previous Studies on Edge Computing 3. Edge Computing Architectures 3.1. Definition and Characteristics 3.2. Comparison with Cloud Computing 3.3. Types of Edge Architectures 3.4. Benefits of Edge Computing 3.5. Limitations and Challenges 4. Methodology 4.1. Research Design and Approach 4.2. Data Collection Methods 4.3. Evaluation Metrics for Efficiency 4.4. Tools and Technologies Used 5. IoT Systems and Use Cases 5.1. Industrial Applications 5.2. Healthcare Monitoring Systems 5.3. Smart City Solutions 5.4. Automotive and Transportation 5.5. Home Automation Scenarios 6. Evaluation of Edge Architectures 6.1. Performance Metrics Analysis 6.2. Case Study Comparisons 6.3. Real-Time Processing Advantages 6.4. Cost and Resource Management 7. Results and Discussion 7.1. Summary of Findings 7.2. Implications for IoT Systems 7.3. Advantages of Improved Efficiency 7.4. Limitations of the Study 7.5. Future Research Directions 8. Conclusion 8.1. Key Insights and Contributions 8.2. Recommendations for Practitioners 8.3. Final Thoughts on Edge Computing
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