Design and Implementation of Massive Data Migration System Based on Object Storage

Object storage, with its distributed architecture, data replication and redundancy, cross-geographical location replication, as well as standardized interfaces and tools, offers powerful support for data migration, thereby making the process simpler, more efficient, and reliable. In the study of the entire massive data migration system, how to enhance the speed of system data migration and improve the efficiency of fault recovery remains an urgent issue. Through the research on the basic principles of the data migration system, leveraging existing limitations and improvements in data migration, and combined with an analysis of key technologies and implementation processes of the data migration system, we have arrived at the following conclusions based on migration speed and fault recovery time calculations: In performance evaluation simulation experiments, six different types of dataset samples were chosen. The improved data migration system showed enhancements in migration speed over traditional approaches, with an average improvement of around 18%. At the same time, improvements were also noted in fault recovery, with an average reduction in time required by approximately 11%. An innovative aspect of this system is its plug-in extension scheme, which can easily accommodate new requirements, migrate between different types of clusters, and the automated fault recovery feature has advantages such as fast recovery speed, easy-to-track recovery points, minimal recovery point record information, and a simple and convenient implementation method.