Incremental local data backup system based on bacula
Chao Yang, Xu Wen, Guohui Wu, Xinge Qi, Sai Liu, Zhao Lele · 2018 IEEE International Conference of Safety Produce Informatization (IICSPI) · 2018
Information system becomes an important part of production and life. Reliable data backup technology can ensure complete and rapid recovery of data after disasters. In order to solve the problem that a full backup needs to consume a large amount of space to store data, incremental backup aims to improve space efficiency, and only backs up data that has changed since the last backup. The traditional incremental backup method is to back up the data changed after the last backup. If there are too many accumulated incremental backups, you need to make a synthetic backup for the secondary increments. The data backup system designed in this paper is based on the incremental backup of the file system, and gives the database incremental data backup based on the Diff algorithm on the file content. The experimental results verify the effectiveness of the proposed method.