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Introduction

Serverless computing has emerged as a promising solution for executing scientific workflows in a cost-effective and scalable manner. By abstracting away the infrastructure management, serverless computing enables researchers to focus on developing and executing their workflows without worrying about provisioning and managing servers. This thesis aims to explore the potential of serverless computing for scientific workflows and provide insights into its benefits and challenges.

1.1 Introduction
1.2 Background of the 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 Overview of Serverless Computing
2.2 Serverless Computing for Scientific Workflows
2.3 Benefits of Serverless Computing for Scientific Workflows
2.4 Challenges of Serverless Computing for Scientific Workflows
2.5 Existing Studies on Serverless Computing for Scientific Workflows
2.6 Comparison of Serverless Computing with Traditional Computing Models
2.7 Adoption of Serverless Computing in Other Domains
2.8 Serverless Computing Platforms and Tools
2.9 Best Practices for Deploying Serverless Scientific Workflows
2.10 Future Trends in Serverless Computing for Scientific Workflows

Chapter Three: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Strategy
3.5 Study Population
3.6 Ethical Considerations
3.7 Validation and Reliability
3.8 Research Limitations
3.9 Research Contributions

Chapter Four: Discussion of Findings
4.1 Overview of Findings
4.2 Analysis of Findings
4.3 Implications of Findings
4.4 Recommendations for Future Research
4.5 Practical Implications
4.6 Theoretical Implications
4.7 Managerial Implications
4.8 Limitations of the Study
4.9 Conclusion
4.10 Future Directions

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to Knowledge
5.4 Practical Implications
5.5 Theoretical Implications
5.6 Recommendations for Future Research
5.7 Conclusion

Thesis Overview on Serverless Computing for Scientific Workflows

Serverless computing has gained significant attention in recent years due to its ability to simplify the deployment and management of applications. This thesis aims to explore the potential of serverless computing for scientific workflows, which are often complex and resource-intensive. By leveraging serverless computing technologies, researchers can focus on developing and executing their workflows without the burden of managing infrastructure.

Chapter One provides an introduction to the research topic, including the background of the study, problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter Two presents a comprehensive literature review on serverless computing, its benefits and challenges, existing studies, comparison with traditional models, adoption in other domains, platforms and tools, and best practices for deploying serverless scientific workflows.

Chapter Three describes the research methodology employed in this study, including research design, data collection methods, analysis techniques, sampling strategy, study population, ethical considerations, and validation. Chapter Four discusses the findings of the research, including an overview, analysis, implications, recommendations, limitations, and future directions. Chapter Five concludes the thesis with a summary of findings, contributions to knowledge, practical and theoretical implications, recommendations for future research, and a final conclusion.

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