Serverless computing for event-driven architectures – Complete Phd and Masters Thesis

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Introduction:

Serverless computing is a revolutionary approach to building and deploying applications in the cloud. It allows developers to focus on writing code without having to worry about managing the underlying infrastructure. Event-driven architectures are becoming increasingly popular as they enable applications to respond to events in real-time. This thesis explores the use of serverless computing for event-driven architectures, aiming to understand its benefits, limitations, and challenges.

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 Two: Literature Review
2.1 Introduction to Serverless Computing
2.2 Event-driven Architectures
2.3 Benefits of Serverless Computing for Event-driven Architectures
2.4 Challenges of Serverless Computing for Event-driven Architectures
2.5 Comparison with Traditional Architectures
2.6 Use Cases of Serverless Computing for Event-driven Architectures
2.7 Best Practices for Implementing Serverless Architectures
2.8 Security Considerations
2.9 Cost Implications
2.10 Future Trends in Serverless Computing

Chapter Three: Research Methodology
3.1 Introduction
3.2 Research Design
3.3 Data Collection Methods
3.4 Data Analysis Techniques
3.5 Sampling Strategy
3.6 Ethical Considerations
3.7 Research Limitations
3.8 Validity and Reliability
3.9 Pilot Study
3.10 Research Timeline

Chapter Four: Discussion of Findings
4.1 Introduction
4.2 Analysis of Data
4.3 Comparison with Literature Review
4.4 Implications of Findings
4.5 Recommendations for Practice
4.6 Recommendations for Future Research
4.7 Limitations of the Study
4.8 Conclusion

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusions
5.3 Contributions to Knowledge
5.4 Implications for Practice
5.5 Recommendations for Further Research

Thesis Overview:

Serverless computing has emerged as a popular paradigm for building and deploying applications in the cloud. This thesis explores the use of serverless computing for event-driven architectures, which are increasingly being adopted by organizations to enable real-time responsiveness to events. The research aims to understand the benefits, challenges, and best practices associated with utilizing serverless computing in event-driven architectures.

Chapter one provides an introduction to the topic, discussing the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. Chapter two conducts a comprehensive literature review on serverless computing, event-driven architectures, benefits, challenges, use cases, best practices, security considerations, cost implications, and future trends.

Chapter three outlines the research methodology, detailing the research design, data collection methods, analysis techniques, sampling strategy, ethical considerations, limitations, validity, reliability, pilot study, and research timeline. Chapter four presents a discussion of findings, analyzing the data, comparing with the literature review, implications, recommendations for practice, future research, limitations, and a conclusion.

Finally, chapter five concludes the thesis with a summary of findings, conclusions, contributions to knowledge, implications for practice, and recommendations for further research. This thesis aims to provide valuable insights into the use of serverless computing for event-driven architectures, helping organizations make informed decisions about adopting this innovative approach in their applications.

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