Edge Computing for Real-Time Analytics – Complete Phd and Masters Thesis

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Table of Contents

Chapter 1: Introduction
1.1 Background
1.2 Problem Statement
1.3 Objectives of the Study
1.4 Limitations of the Study
1.5 Scope of the Study

Chapter 2: Literature Review
2.1 Overview of Edge Computing
2.2 Real-Time Analytics
2.3 Applications of Edge Computing for Real-Time Analytics
2.4 Challenges and Opportunities
2.5 Current Trends in Edge Computing

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sample Selection
3.5 Research Instruments

Chapter 4: Discussion of Findings
4.1 Analysis of Data
4.2 Comparison of Results with Existing Literature
4.3 Interpretation of Results
4.4 Implications for Practice

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Recommendations for Future Research
5.3 Practical Implications
5.4 Conclusion

Overview of Edge Computing for Real-Time Analytics

Edge computing has emerged as a promising technology that enables real-time data processing and analytics at the edge of the network, closer to where data is generated. This approach offers several advantages, including reduced latency, improved performance, and enhanced data security.

Real-time analytics, on the other hand, involves the analysis of data in real-time to derive actionable insights and make informed decisions. By combining edge computing with real-time analytics, organizations can gain valuable insights from their data faster and more efficiently.

This study aims to explore the use of edge computing for real-time analytics and its potential applications in various industries. The research will examine the current trends, challenges, and opportunities in this field, as well as provide recommendations for future research and practical implications for organizations looking to implement edge computing for real-time analytics.

Overall, this research will contribute to the existing body of knowledge on edge computing and real-time analytics, and provide valuable insights for researchers, practitioners, and decision-makers in the field.

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