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Introduction

In recent years, the concept of edge computing has gained significant attention due to the increasing demand for real-time data processing and analysis in various applications, particularly in smart cities. Edge computing enables data processing to occur closer to the source of data generation, reducing latency and improving overall system performance. However, with the proliferation of edge devices and the vast amount of data being generated in smart cities, there is a pressing need to design a secure and scalable architecture to support edge computing infrastructures.

This thesis aims to address the challenges associated with designing a secure and scalable architecture for edge computing in smart cities. By examining the existing literature, identifying the key issues, and proposing innovative solutions, this research will contribute to the advancement of edge computing technologies in smart city environments.

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
2.2 Overview of smart cities
2.3 Security challenges in edge computing
2.4 Scalability issues in edge computing
2.5 Existing architectures for edge computing in smart cities
2.6 Best practices for securing edge computing environments
2.7 Scalability solutions for edge computing infrastructures
2.8 Impact of edge computing on smart city applications
2.9 Case studies of successful edge computing implementations
2.10 Future trends in edge computing for smart cities

Chapter 3: Research Methodology
3.1 Research approach
3.2 Data collection methods
3.3 Data analysis techniques
3.4 Participant selection criteria
3.5 Ethical considerations
3.6 Research limitations
3.7 Data validation methods
3.8 Research timeline

Chapter 4: Discussion of Findings
4.1 Overview of research findings
4.2 Analysis of data collected
4.3 Comparison of existing architectures
4.4 Evaluation of proposed solutions
4.5 Implications for edge computing in smart cities
4.6 Recommendations for future research
4.7 Practical implications for industry
4.8 Conclusion

Chapter 5: Conclusion and Summary
5.1 Summary of research findings
5.2 Contribution to the field of edge computing
5.3 Implications for smart city development
5.4 Limitations of the research
5.5 Future research directions
5.6 Conclusion

Thesis Overview

The rapid growth of smart city initiatives has brought about the need for efficient and secure data processing systems. Edge computing has emerged as a promising solution to enhance real-time data processing capabilities in smart cities. However, there are significant challenges to be addressed in designing secure and scalable architectures for edge computing in smart cities.

This thesis will provide an in-depth analysis of the current state of edge computing in smart cities, identify the key security and scalability issues, and propose innovative solutions to address these challenges. The literature review will cover the fundamentals of edge computing and smart cities, as well as the existing architectures and best practices for securing and scaling edge computing environments.

The research methodology will outline the approach taken to collect and analyze data, including participant selection criteria and ethical considerations. The discussion of findings will present the results of the research, comparing existing architectures, evaluating proposed solutions, and providing recommendations for future research and industry applications.

In conclusion, this thesis aims to make a significant contribution to the field of edge computing in smart cities by providing insights into secure and scalable architecture design, addressing the current gaps in the literature, and paving the way for future advancements in the field.

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