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Modelling and analysis of two-unit hot standby database system with random inspection of standby unit

Author

Listed:
  • Amit Manocha
  • Gulshan Taneja
  • Sukhvir Singh
  • Rahul Rishi

Abstract

Stochastic model for a two-unit hot standby database system comprising of one operative (primary unit) and one hot standby unit has been developed. The primary unit acts as production unit which is synchronised with hot standby unit through online transfer of archive redo logs. The data being saved in the primary unit gets simultaneously stored in the hot standby unit. The different modes of failure of primary database have been considered. To avoid loss of data, random inspection of the standby unit is carried out by a database administrator (DBA) to see as to whether redo log files are created/updated in standby unit or not. The repair of the failed unit and creation/updation of redo log files are also done by the DBA. The system is analysed using semi-Markov process and regenerative point technique. Mathematical expressions for various performance measures of the system have been obtained along with cost-benefit analysis of the system. Numerical analysis has been done to validate the derived results. Bounds for various parameters have also been obtained with regard to profitability of the system.

Suggested Citation

  • Amit Manocha & Gulshan Taneja & Sukhvir Singh & Rahul Rishi, 2019. "Modelling and analysis of two-unit hot standby database system with random inspection of standby unit," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 15(2), pages 156-180.
    • Handle: RePEc:ids:ijmore:v:15:y:2019:i:2:p:156-180
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    Cited by:

    1. Anjali Naithani & Smrity Khanduri & Surbhi Gupta, 2022. "Stochastic analysis of main unit with two non-identical replaceable sub units working with partial failure," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1467-1473, June.

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