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Introduction

Serverless computing has emerged as a promising paradigm for real-time stream processing, offering a scalable and cost-effective solution for handling large volumes of data in real-time applications. With traditional server-based architectures, organizations often struggle to cope with fluctuating workloads and unpredictable traffic patterns, leading to inefficiencies and high operational costs. Serverless computing provides a more efficient alternative by allowing developers to focus on writing code without the need to manage servers or infrastructure.

This thesis explores the use of serverless computing for real-time stream processing, aiming to investigate its potential benefits and limitations in this context. The research will focus on understanding how serverless computing can be leveraged to build scalable and reliable real-time stream processing systems, as well as exploring the challenges and opportunities that come with adopting this technology.

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 Real-Time Stream Processing

2.3 Benefits of Serverless Computing for Stream Processing

2.4 Challenges of Serverless Computing for Stream Processing

2.5 Use Cases and Applications of Serverless Computing in Stream Processing

2.6 Comparison with Traditional Server-Based Architectures

2.7 Scalability and Performance Considerations

2.8 Cost Analysis of Serverless Computing for Stream Processing

2.9 Security and Compliance Issues

2.10 Emerging Trends and Future Directions

Chapter Three: Research Methodology

3.1 Research Design

3.2 Data Collection Methods

3.3 Data Analysis Techniques

3.4 Case Studies and Experiments

3.5 Evaluation Metrics

3.6 Implementation Details

3.7 Tools and Technologies

3.8 Ethical Considerations

Chapter Four: Discussion of Findings

4.1 Comparison of Serverless Computing with Traditional Architectures

4.2 Scalability and Performance Evaluation

4.3 Cost Analysis and Operational Savings

4.4 Security and Compliance Considerations

4.5 Use Cases and Applications

4.6 Challenges and Limitations

4.7 Best Practices and Recommendations

4.8 Future Research Directions

Chapter Five: Conclusion and Summary

In conclusion, this thesis aims to provide a comprehensive overview of the use of serverless computing for real-time stream processing, highlighting its potential benefits and challenges in this context. By examining the existing literature, conducting experiments, and analyzing case studies, the research will contribute to a better understanding of how serverless computing can be leveraged for building efficient and scalable real-time stream processing systems.

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