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International Society of Science and Applied Technologies |
| Periodic and Random Differential Backup Policies in Reliability Theory | ||||
| Author | Xufeng Zhao
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| Co-Author(s) | Kun Wang; Wendi Pang; Jiajia Cai
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| Abstract | For a 24/7 database system, backups should be implemented right after a large volume of data has been updated, putting their backup windows in non-busy states with user’s convenience. From this viewpoint, this paper studies periodic and random differential backup policies, in which, differential backup is implemented right after data update and full backup is performed at periodic times KT, or at a number N of data updates, respectively. We firstly describe the stochastic processes of data update and database failure, and then model the expected cost rates for data backup and data restoration. Respective K*D , N*D , K*DF , and N*DF are obtained to minimize their expected cost rates in analytical ways, respectively.
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| Keywords | Differential backup, Full backup, Database failure, Maintenance theory, Reliability theory | |||
| Article #: RQD2024-239 | ||||
Proceedings of 29th ISSAT International Conference on Reliability & Quality in Design |