**Introduction**
Edge computing is a paradigm that brings computation and data storage closer to the location where it is needed. With the exponential growth of devices connected to the internet, such as Internet of Things (IoT) devices, edge computing has emerged as a key technology to enable low-latency, high-bandwidth applications. In future networks, edge computing will play a crucial role in supporting real-time applications, reducing network congestion, and improving overall network performance.
**Table of Contents**
**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 Overview of Edge Computing
2.2 Evolution of Edge Computing
2.3 Edge Computing Architecture
2.4 Edge Computing Applications
2.5 Edge Computing Challenges
2.6 Edge Computing in Future Networks
2.7 Edge Computing Security
2.8 Edge Computing Performance
2.9 Edge Computing Technologies
2.10 Edge Computing Use Cases
**Chapter 3: Research Methodology**
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Strategy
3.5 Research Instruments
3.6 Ethical Considerations
3.7 Data Validity and Reliability
3.8 Research Limitations
**Chapter 4: Discussion of Findings**
4.1 Edge Computing Adoption in Future Networks
4.2 Impact of Edge Computing on Network Performance
4.3 Edge Computing Security Concerns
4.4 Edge Computing Scalability
4.5 Edge Computing Cost Considerations
4.6 Edge Computing vs. Cloud Computing
4.7 Edge Computing Best Practices
4.8 Edge Computing Future Trends
**Chapter 5: Conclusion and Summary**
5.1 Summary of Findings
5.2 Conclusion
5.3 Recommendations for Future Research
5.4 Implications for Practice
5.5 Conclusion
**Thesis Overview**
The Role of Edge Computing in Future Networks
Edge computing is a disruptive technology that brings computation and data storage closer to the location where it is needed. This thesis explores the role of edge computing in future networks and its impact on network performance, security, scalability, and cost considerations. The literature review examines the evolution of edge computing, its architecture, applications, challenges, and technologies. The research methodology outlines the research design, data collection methods, data analysis techniques, and ethical considerations. The discussion of findings delves into edge computing adoption, network performance, security concerns, scalability, cost considerations, best practices, and future trends. The conclusion summarizes the findings, provides recommendations for future research, and discusses the implications for practice.
