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Stochastic and Cost-Benefit Analysis of Two Unit Hot Standby Database System

Volume 13, Number 1, January 2017 - Paper 5 - pp. 63-72
DOI: 10.23940/ijpe.17.01.p5.6372

Amit Manocha1, Gulshan Taneja2 and Sukhvir Singh3

1Department of Mathematics, T.I.T. S., Bhiwani, Haryana, India

2 Department of Mathematics, M.D. University Rohtak, Haryana, India

3Department of Computer Science, N.C.C.E. Panipat, Haryana, India

(Received on October 08, 2016, revised on November 30, 2016)


A discrete state space and continuous time stochastic model for two unit hot standby database system has been developed. The system comprised of one primary unit and single hot standby unit. The primary unit is production unit synchronized with hot standby unit through online transfer of archive redo log files. Different modes of failure of primary database unit are considered. Failure of database unit either primary or standby is dealt by database administrator (DBA). Expressions for various measures of system effectiveness have been obtained by making use of semi-Markov processes and regenerative point technique. Numerical results have been drawn on the basis of data collected. Bounds pertaining the profitability of the system have also been obtained.


References: 10

[1].       El-Said, K.M., and M.S. El-sherbeny. Profit Analysis of a Two Unit Cold Standby System with Preventive Maintenance and Random Change in Units. Journal of Mathematics and Statistics, 2005; 1(1): 71-77.

[2].       Parashar, B., and G. Taneja. Reliability and Profit Evaluation of a Plc Hot Standby System Based on a Master- Slave Concept and Two Types of Repair Facilities. IEEE Transactions on Reliability, 2007; 56(3): 534-539.

[3].       El-Damcese, M.A. Analysis of Warm Standby Systems Subject to Common-Cause Failures with Time Varying Failure and Repair Rates. Applied Mathematical Sciences, 2009; 3(18): 853-860.

[4].       Beith, B., L. Hong, and J. Sarkar. A Standby System with Two Repair Persons under Arbitrary Life-and Repair Times. Mathematical and Computer Modelling, 2010; 51:756-767.

[5].       Shakuntla, S., A.K. Lal, S.S. Bhatia, and J.Singh. Reliability Analysis of Polytube Industry Using   Supplementary Variable Technique. Applied Mathematics and Computation, 2011; 218: 3981- 3992.

[6].       Rizwan, S.M., N. Padmavathi, A. Pal, and G. Taneja. Reliability Analysis of a Seven Unit Desalination Plant with Shutdown During Winter Season and Repair/Maintenance on FCFS Basis.International Journal of Performability Engineering, 2013; 9(5): 523-528.

[7].       Manocha, A., and G.Taneja.Stochastic Analysis of a Two-Unit Cold Standby System with Arbitrary Distribution for Life, Repair and Waiting Times. International Journal of Performability Engineering, 2015; 11(3): 293-299.

[8].       Kuo,C.-C., and J.-C. Ke. Comparative Analysis of Standby Systems with Unreliable Server and Switching Failure. Reliabiliy Engineering and System Safety, 2016; 145: 74-82.

[9].       Kumar, R., and S. Batra. Cost-Benefit and Performance Analysis of a Stochastic Model on Printed Boards Manufacturing Process. International Journal of Mathematics in Operational Research, 2016; 8(4): 490-508.

[10].     Singh, S., R. Rishi, G. Taneja, and A. Manocha. Reliability and Availability Analysis of   Database System with Standby Unit Provided by the System Provider. International Journal of Soft Computing and Engineering, 2013; 3(2): 235- 237.


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