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Maximum Entropy Approach for discrete-time unreliable server Geo X /Geo/1 queue with working vacation

Author

Listed:
  • Madhu Jain
  • G.C. Sharma
  • Richa Sharma

Abstract

This paper analyses a discrete-time GeoX/Geo/1 queue with unreliable server and working vacation. During the vacation period, the server renders service to the primary job at lower rate rather than completely stopping service; this type of vacation is considered as working vacation. For modelling the queueing problem, the inter-arrival time, service time and repair time are treated as discrete random variables. The customers are assumed to arrive at the system in batches according to a geometric process during the consecutive slots. Using the probability generating function method, we obtain the steady-state distribution of the number of the customers in the system. Furthermore, Maximum Entropy Approach (MEA) is employed to obtain the approximate formulae for the probability distributions of the number of customers and the expected waiting time in the system in terms of several well-known results. Finally, the sensitivity analysis is also carried out to illustrate the effect of different parameters on several performance characteristics.

Suggested Citation

  • Madhu Jain & G.C. Sharma & Richa Sharma, 2012. "Maximum Entropy Approach for discrete-time unreliable server Geo X /Geo/1 queue with working vacation," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 4(1), pages 56-77.
    • Handle: RePEc:ids:ijmore:v:4:y:2012:i:1:p:56-77
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