TOWARDS EFFICIENT DATA MIGRATION IN CLOUD COMPUTING: A COMPARATIVE ANALYSIS OF METHODS AND TOOLS
Keywords:
Data Migration, Cloud Computing, Comparative Analysis, Methods, Tools, Efficiency, Speed, Reliability, Resource Utilization, Optimization, Seamless TransitionAbstract
Data Migration in cloud computing is a critical process for organizations seeking to transition data seamlessly and efficiently between different cloud environments. This study presents a comparative analysis of methods and tools used in data migration, focusing on enhancing efficiency and minimizing disruptions during the migration process. By evaluating various data migration strategies, including lift-and-shift, database migration, and storage migration, this research aims to provide insights into the strengths and limitations of each approach. The comparative analysis considers factors such as data security, scalability, cost-effectiveness, and downtime mitigation to help organizations make informed decisions when planning and executing data migration projects in cloud computing environments. Through this comparative analysis, organizations can identify the most suitable methods and tools to achieve efficient and successful data migration while maximizing the benefits of cloud technology adoption.
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