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Introduction
Serverless Computing and Function-as-a-Service (FaaS) have gained popularity in recent years as a scalable and cost-effective solution for building web applications. With the rise of cloud computing and the increasing demand for scalable and efficient web services, serverless computing has emerged as a viable option for developers.
This thesis aims to explore the benefits and challenges of using serverless computing and FaaS for developing scalable web applications. By examining the key concepts, technologies, and best practices in this field, this research seeks to provide insights into how serverless computing can be leveraged to build highly scalable and efficient web applications.
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 Serverless Computing
2.2 Evolution of Function-as-a-Service
2.3 Benefits of Serverless Computing
2.4 Challenges of Serverless Computing
2.5 Best Practices for Serverless Development
2.6 Use cases of Serverless Computing
2.7 Security and Privacy Issues in Serverless Computing
2.8 Performance Considerations in Serverless Computing
2.9 Cost Analysis of Serverless Computing
2.10 Comparison of Serverless Platforms
Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Case Study Design
3.5 Participant Selection Criteria
3.6 Ethical Considerations
3.7 Pilot Study
3.8 Data Validation Techniques
Chapter 4: Discussion of Findings
4.1 Overview of Findings
4.2 Analysis of Benefits and Challenges
4.3 Comparison of Serverless Platforms
4.4 Case Study Results
4.5 Recommendations for Implementation
4.6 Implications for Future Research
4.7 Limitations of the Study
4.8 Conclusion
Chapter 5: Conclusion
5.1 Summary of Findings
5.2 Implications for Practice
5.3 Contributions to Knowledge
5.4 Recommendations for Future Research
5.5 Conclusion
Thesis Overview
Serverless Computing and Function-as-a-Service (FaaS) have emerged as promising technologies for developing scalable web applications. This thesis aims to explore the benefits and challenges of using serverless computing for building highly efficient and scalable web services.
In the introduction chapter, the background of the study, problem statement, objectives, limitations, scope, significance, and structure of the thesis will be discussed. Additionally, key terminologies related to serverless computing and FaaS will be defined to provide a comprehensive understanding of the topic.
The literature review chapter will provide an overview of serverless computing, the evolution of FaaS, benefits, challenges, best practices, use cases, security, performance, cost analysis, and platform comparison. This chapter will lay the foundation for the research by examining the existing body of knowledge on serverless computing.
The research methodology chapter will outline the research design, data collection methods, analysis techniques, case study design, participant selection criteria, ethical considerations, pilot study, and data validation techniques. This chapter will detail the approach taken to investigate serverless computing in the context of scalable web applications.
The discussion of findings chapter will present an analysis of the research results, including benefits and challenges of serverless computing, platform comparison, case study results, recommendations for implementation, implications for future research, and limitations of the study. This chapter will provide insights into the practical implications of using serverless computing for scalable web applications.
In the conclusion chapter, a summary of findings, implications for practice, contributions to knowledge, recommendations for future research, and a conclusive statement will be provided. This chapter will wrap up the thesis by summarizing the key insights and contributions of the research on serverless computing and FaaS for scalable web applications.
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