10.71932/

Transient Solution of an M/M/1 Variant Working Vacation Queue with Balking

  1. Mathematics Department, Andhra University, Visakhapatnam, India.

Published in Issue 13-07-2025

How to Cite

Pikkala , V. L., & Pilla, R. (2025). Transient Solution of an M/M/1 Variant Working Vacation Queue with Balking. International Journal of Mathematical Modelling & Computations, 8(01). https://doi.org/10.71932/

Abstract

This paper presents the transient solution of a variant working vacation queue with balking. Customers arrive according to a Poisson process and decide to join the queue with probability $b$ or balk with $\bar{b} = 1-b$. As soon as the system becomes empty, the server takes working vacation. The service times during regular busy period and working vacation period, and vacation times are assumed to be exponentially distributed and are mutually independent. We have obtained the transient-state probabilities in terms of modified Bessel function of the first kind by employing probability generating function, continued fractions and Laplace transform. In addition, we have also obtained some other performance measures.

Keywords

  • Laplace transform,
  • Queue,
  • balking,
  • probability generating function,
  • transient probabilities,
  • variant working vacations,
  • continued fractions

References

  1. [1] S. I. Ammar, Transient analysis of an M=M=1 queue with impatient behavior and multiple vacations,
  2. Applied Mathematics and Computation, 260 (2015) 97{105.
  3. [2] A. D. Banik, The infinite-buffer single server queue with a variant of multiple vacation policy and
  4. batch Markovian arrival process, Applied Mathematical Modelling, 33 (7) (2009) 3025-3039.
  5. [3] B. T. Doshi, Queueing systems with vacations: A survey, Queueing Systems, 1 (1) (1986) 29-66.
  6. [4] J. D. Griffiths, G. M. Leonenko and J. E. Williams, The transient solution to M=Ek=1 queue,
  7. Operations Research Letters, 34 (3) (2006) 349{354.
  8. [5] K. Kalidass and K. Ramanath, Time dependent analysis of M=M=1 queue with server vacations and
  9. a waiting server, Proceedings of the 6th International Conference on Queueing Theory and Network
  10. Applications, Korea University, South Korea, (2011) 77{83.
  11. [6] K. Kalidass, J. Gnanaraj, S. Gopinath and R. Kasturi, Transient analysis of an M=M=1 queue with
  12. a repairable server and multiple vacations, International Journal of Mathematics in Operational
  13. Research, 6 (2) (2014) 193{216.
  14. [7] J. C. Ke, K. B. Huang and W. L. Pearn, Randomized policy of a Poisson input queue with J
  15. vacations, Journal of System Science and System Engineering, 19 (1) (2010) 50-71.
  16. [8] B. Krishna Kumar and D. Arivudainambi, Transient solution of an M=M=1 queue with catastrophes,
  17. Computers & Mathematics with applications, 40(10) (2000) 1233{1240.
  18. [9] G. M. Leonenko, A new formula for the transient solution of the Erlang queueing model, Statistics
  19. & Probability Letters, 79 (3) (2009) 400{406.
  20. [10] W. Liu, X. Xu and N. Tian, Stochastic decompositions in the M=M=1 queue with working vacations,
  21. Operations Research Letters, 35 (5) (2007) 595-600.
  22. [11] P. R. Parthasarathy and R. B. Lenin, On the exact transient solution of finite birth and death
  23. processes with specific quadratic rates, Mathematical Scientist, 22 (1997) 92{105.
  24. [12] P. R. Parthasarathy and R. B. Lenin, On the numerical solution of transient probabilities of quadratic
  25. birth and death processes, Journal of Difference Equations and Applications, 4 (4) (1998) 365{379.
  26. [13] P. R. Parthasarathy and N. Selvaraju, Transient analysis of a queue where potential customers are
  27. discouraged by queue length, Mathematical Problems in Engineering, 7 (5) (2001) 433{454.
  28. [14] P. R. Parthasarathy and R. Sudhesh, Transient solution of a multi server Poisson queue with Npolicy, Computers & Mathematics with Applications, 55 (3) (2008) 550{562.
  29. [15] L. D. Servi and S. G. Finn, M=M=1 queues with working vacations (M=M=1=W V ), Performance
  30. Evaluation, 50 (1) (2002) 41-52.
  31. [16] R. Sudhesh, Transient analysis of a queue with system disasters and customer impatience, Queueing
  32. systems, 66 (1) (2010) 95{105.
  33. [17] R. Sudhesh and L. Francis Raj, Computational analysis of stationary and transient distribution
  34. of single server queue with working vacation, Global Trends in Computing and Communication
  35. Systems, (2012) 480{489.
  36. [18] H. Takagi, Queueing Analysis: A Foundation of Performance Evaluation, Volume 1: Vacation and
  37. Priority Systems. Part 1. Elsevier Science Publishers, Amsterdam, (1991).
  38. [19] A. M. K. Tarabia and A. H. El-Baz, Exact transient solutions of nonempty Markovian queues,
  39. Computers & Mathematics with Applications, 52 (2006) 985{996.
  40. [20] N. Tian and Z. G. Zhang, Vacation Queueing Models: Theory and Applications, Springer Science &
  41. Business Media, (2006).
  42. [21] P. Vijaya Laxmi and K. Jyothsna, Performance analysis of variant working vacation queue with
  43. balking and reneging, International Journal of Mathematics in Operational Research, 6 (4) (2014)
  44. 505-521.
  45. [22] T. Y. Wang, J. C. Ke and F. M. Chang, On the discrete-time Geo=G=1 queue with randomized
  46. vacations and at most J vacations, Applied Mathematical Modelling, 35 (5) (2011) 2297-2308.
  47. [23] D. Wu and H. Takagi, M=G=1 queue with multiple working vacations, Performance Evaluation, 63
  48. (7) (2006) 654-681.
  49. [24] D. Y. Yang and C. H. Wu, Cost-minimization analysis of a working vacation queue with N-policy
  50. and server breakdowns, Computers & Industrial Engineering, 82 (2015) 151-158.
  51. [25] D. Yue, W. Yue, Z. Saffer and X. Chen, Analysis of an M=M=1 queueing system with impatient
  52. customers and a variant of multiple vacation policy, Journal of Industrial and Management Optimization, 10 (1) (2014) 89-112.
  53. [26] Z. G. Zhang and N. Tian, Discrete time Geo=G=1 queue with multiple adaptive vacations, Queueing
  54. Systems, 38 (4) (2001) 419-429.
  55. [27] M. Zhang, and Z. Hou, Steady state analysis of the GI=M=1=N queue with a variant of multiple
  56. working vacations, Computers & Industrial Engineering, 61 (4) (2011) 1296-1301.