TY - GEN
T1 - A Dynamic Compression Method for Database Backup Files in Cloud Environments
AU - Zhu, Dongjie
AU - Zhou, Yulan
AU - Yu, Shaozai
AU - Wang, Tianyu
AU - Wu, Yang
AU - Hu, Hao
AU - Du, Haiwen
N1 - Publisher Copyright:
© 2021, Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - With the progress of society and the improvement of the degree of information technology, the data storage capacity of enterprise business is becoming larger. More and more enterprises choose to hand over the storage business to specialized cloud manufacturers. Generally, for the security and reliability of user data, cloud service providers (CSP) will conduct incremental or full backups of user data frequently. However, with the expansion of business and the increase of user data volume, the burden of data backup required by CSPs is becoming heavier. At present, most CSPs use open-source Xtrabackup for hot database backup and recovery, but Xtrabackup has shortcomings in compression rate and decompression speed. To better improve Xtrabackup, we analyzed the backup and recovery process of Xtrabackup and fully explored the factors that affect its compression rate and decompression speed. Finally, an optimization strategy is proposed to optimize the original Xtrabackup. Experiments show that the proposed optimization scheme can increase the compression rate by 30%–50%, reduce the recovery time by 40%, and the total compression time by 25%.
AB - With the progress of society and the improvement of the degree of information technology, the data storage capacity of enterprise business is becoming larger. More and more enterprises choose to hand over the storage business to specialized cloud manufacturers. Generally, for the security and reliability of user data, cloud service providers (CSP) will conduct incremental or full backups of user data frequently. However, with the expansion of business and the increase of user data volume, the burden of data backup required by CSPs is becoming heavier. At present, most CSPs use open-source Xtrabackup for hot database backup and recovery, but Xtrabackup has shortcomings in compression rate and decompression speed. To better improve Xtrabackup, we analyzed the backup and recovery process of Xtrabackup and fully explored the factors that affect its compression rate and decompression speed. Finally, an optimization strategy is proposed to optimize the original Xtrabackup. Experiments show that the proposed optimization scheme can increase the compression rate by 30%–50%, reduce the recovery time by 40%, and the total compression time by 25%.
KW - Compression rate
KW - Decompression speed
KW - Double buffering model
KW - Dynamic assignment
UR - https://www.scopus.com/pages/publications/85119579731
U2 - 10.1007/978-981-16-7502-7_32
DO - 10.1007/978-981-16-7502-7_32
M3 - 会议稿件
AN - SCOPUS:85119579731
SN - 9789811675010
T3 - Communications in Computer and Information Science
SP - 316
EP - 327
BT - Data Mining and Big Data - 6th International Conference, DMBD 2021, Proceedings
A2 - Tan, Ying
A2 - Shi, Yuhui
A2 - Zomaya, Albert
A2 - Yan, Hongyang
A2 - Cai, Jun
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th International Conference on Data Mining and Big Data, DMBD 2021
Y2 - 20 October 2021 through 22 October 2021
ER -