Open AccessDistributed Method for the Backup of Massive Unstructured Data
Author(s) -
Junhong Duan,
Bing Yang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1802/3/032106
Subject(s) - backup , backup software , computer science , server , bottleneck , data loss , operating system , computer network , load balancing (electrical power) , distributed computing , embedded system , geometry , mathematics , grid
In order to solve the existing problems for the backup of massive unstructured data with its performance bottleneck of single server, in this paper we propose a distributed method for the backup of massive unstructured data. In the backup method, through using a combination of load balancing algorithm and distributed algorithm, the backup system assign task of backup to each production server. Multiple servers backup massive unstructured data stored in shared storage to the backend server. The backup system can make full use of the performance resources of servers in environment production, reduce the single server performance bottlenecks, to avoid the single server hunger, increased the speed of backup.