Cumulative Backup Policies for Database Systems  
Author Shouji Nakamura
Co-Author(s) Masashi Yamakawa; Xufeng Zhao
Abstract This paper supposes that a database system that is running for 24/7 and has several random busy states of updates. The cumulative backup is implemented after each update and full backup is scheduled at time T and updates N. That is, models with decision variables of T and N for full backups are considered. We obtain the expected costs of data backup and failure recovery and the expected cost rates for full backups. Optimum solutions to minimize the expected cost rates are discussed in analytical ways. Furthermore, full backups that are made at time T and updates N are compared analytically.
Keywords Cumulative backup, random backup, Database failure, data update, back cost
    Article #:  23-098
Proceedings of the 23rd ISSAT International Conference on Reliability and Quality in Design
August 3-5, 2017 - Chicago, Illinois, U.S.A.