Edge Computing and Fog Computing for IoT Systems – Complete Phd and Masters Thesis

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Introduction:

Edge Computing and Fog Computing are emerging paradigms that aim to address the challenges posed by the increasing complexity and scale of IoT systems. These technologies enable processing and storage to be carried out closer to the edge of the network, reducing latency and improving overall system efficiency. In this thesis, we will explore the potential of Edge Computing and Fog Computing for IoT Systems, examining their benefits, limitations, and implications for future IoT deployments.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Introduction to Edge Computing and Fog Computing
2.2 Evolution of IoT Systems
2.3 Benefits of Edge Computing and Fog Computing
2.4 Challenges of Edge Computing and Fog Computing
2.5 Comparison of Edge Computing and Fog Computing
2.6 Use Cases of Edge Computing and Fog Computing
2.7 Security and Privacy Issues in Edge Computing and Fog Computing
2.8 Standardization and Regulation in Edge Computing and Fog Computing
2.9 Industry Trends in Edge Computing and Fog Computing
2.10 Future Research Directions in Edge Computing and Fog Computing

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Participant Selection Criteria
3.5 Ethical Considerations
3.6 Pilot Study
3.7 Data Validation
3.8 Limitations of the Research Methodology

Chapter 4: Discussion of Findings
4.1 Analysis of Data
4.2 Interpretation of Results
4.3 Comparison with Existing Literature
4.4 Implications for Practice
4.5 Recommendations for Future Research
4.6 Conclusion

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Contributions to the Field
5.3 Future Research Directions
5.4 Conclusion

Thesis Overview:

Edge Computing and Fog Computing are revolutionizing the way IoT systems are designed and deployed. These technologies enable efficient processing and storage closer to the edge of the network, reducing latency and improving overall system performance. In this thesis, we will examine the benefits, limitations, and implications of Edge Computing and Fog Computing for IoT systems. Through a comprehensive literature review, research methodology, and discussion of findings, we aim to provide valuable insights into the potential of these technologies for future IoT deployments.

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