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Discussion on the Optimization of Finite Buffer Markovian Queue with Differentiated Vacations

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1380))

Abstract

This paper examines the optimality of a single server queues where the server is permitted to take two differentiated hiatus. The inter-arrival times of arriving clients, the service times and two hiatus times are all exponentially distributed with \(\lambda \), \(\mu \), \(\alpha _1\) and \(\alpha _2\), respectively. The ceiling of clients admitted into the system is of L. The stationary system size distributions of the model by using probability generating functions are obtained. Optimization of the model is studied using particle swarm optimization. A few numerical arguments validating the impact of parameters pertaining to in our system on vital performance measures of the model are hosted.

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References

  1. Doshi, B.T.: Queueing systems with vacations—a survey. Queueing Syst. 1, 29–66 (1986). https://doi.org/10.1007/BF01149327

  2. Doshi, B.T.: Single server queues with vacations. In: Takagi, H. (ed) Stochastic Analysis of Computer and Communication Systems. North-Holland, Amsterdam, pp. 217–265 (1990)

    Google Scholar 

  3. Tian, N.: Stochastic vacation service systems. Oper. Res. Commun. 1, 17–30 (1990). (in Chinese)

    Google Scholar 

  4. Ke, J.C., Wu, C.H., Zhang, Z.G.: Recent developments in vacation queueing models: a short survey. Int. J. Oper. Res. 7(4), 3–8 (2011)

    Google Scholar 

  5. Upadhyaya, S.: Queueing systems with vacation: an overview. IJMOR 9(2), 167–213 (2016). https://doi.org/10.1504/IJMOR.2016.077997

    Article  MathSciNet  MATH  Google Scholar 

  6. Takagi, H.: Queueing Analysis: A Foundation of Performance Analysis, vol. 1 of Vacation and Priority Systems, part 1, Elsevier Science Publishers B.V., Amsterdam, The Netherlands (1991). https://doi.org/10.1145/122564.1045501

  7. Tian, N., Zhang, Z.G.: Vacation Queueing Models: Theory and Applications. Springer, New York (2006)

    Book  Google Scholar 

  8. Takagi, H.: \(M/G/1/N\) queues with server vacations and exhaustive service. Oper. Res. 42(5), 926–939 (1994). https://doi.org/10.1287/opre.42.5.926

    Article  MathSciNet  MATH  Google Scholar 

  9. Zhang, Y., Yue, D., Yue, W.: Analysis of an \(M/M/1/N\) queue with balking, reneging and server vacations. In: Proceedings of the Fifth International Symposium, pp. 37–47 (2005)

    Google Scholar 

  10. Ghimire, R.P., Ritu Basnet.: Finite capacity queueing system with vacations and server breakdowns. IJE Trans. Basics 24(4), 387–394 (2011). https://doi.org/10.5829/idosi.ije.2011.24.04a.07

  11. Yue, D., Zhang, Y., Yue, W.: Optimal performance analysis of an M/M/1/N queue system with balking, reneging and server vacation. Int. J. Pure Appl. Math. 28, 101–115 (2006)

    MathSciNet  MATH  Google Scholar 

  12. Yue, D., Sun, Y.: The waiting time of the \(M/M/1/N\) queueing system with balking, reneging and multiple vacations. Chin. J. Eng. Math. 5, 943–946 (2008)

    MathSciNet  MATH  Google Scholar 

  13. Hui Z., Wei G.: The two-phases-service \(M/M/1/N\) queuing system with the server breakdown and multiple vacations. In: Liu, B., Chai, C. (eds) Information Computing and Applications. ICICA 2011. Lecture Notes in Computer Science, vol. 7030 (2011). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25255-6-26

  14. Kalidass, K., Gnanaraj, J., Gopinath, S., Kasturi, R.: Time dependent analysis of an \(M/M/1/N\) queue with catastrophes and a repairable server. Opsearch 49, 39–61 (2012). https://doi.org/10.1007/s12597-012-0065-6

    Article  MathSciNet  MATH  Google Scholar 

  15. Ibe, O.C., Isijola, O.A.: \(M/M/1\) multiple vacation queueing systems with differentiated vacations. Model. Simulat. Eng. 3, 1–6 (2014). https://doi.org/10.1155/2014/158247

    Article  Google Scholar 

  16. Oliver C. Ibe, Olubukola A. Adakeja.: M/M/1 Differentiated multiple vacation queueing systems with vacation-dependent service rates. IREMOS 8(5), 505 (2015). https://doi.org/10.15866/iremos.v8i5.6778

  17. Vijayashree, K.V., Janani, B.: Transient analysis of an \(M/M/1\) queueing system subject to differentiated vacations. Qual. Technol. Quant. Manag. 15(6), 730–748 (2017). https://doi.org/10.1080/16843703.2017.1335492

    Article  Google Scholar 

  18. Bouchentouf, A.A., Guendouzi, A.: Sensitivity analysis of feedback multiple vacation queueing system with differentiated vacations, vacation interruptions and impatient customers. IJAMAS 57(6) (2018)

    Google Scholar 

  19. Suranga Sampath, M.I.G., Liu, J.: Impact of beneficiaries impatience on an \(M/M/1\) queueing system subject to differentiated vacations with a waiting server. Qual. Technol. Quant. Manag. 17(2), 125–148 (2018). https://doi.org/10.1080/16843703.2018.1555877.

  20. Unni, V., Mary, K.J.R.: Queueing systems with C-servers under differentiated type 1 and type 2 vacations. Infokara Res. 8, 809–819 (2019)

    Google Scholar 

  21. Suranga Sampath, M.I.G., Kalidass, K., Liu, J.: Transient analysis of an \(M/M/1\) queueing system subjected to multiple differentiated vacations, impatient customers and a waiting server with application to IEEE 802. Indian J. Pure Appl. Math. 51(1), 297–320 (2020). https://doi.org/10.1007/s13226-020-0402-z

  22. Unni, V., Mary, K.J.R.: M/M/1 multiple vacations queueing systems with differentiated vacations under mixed strategy of customers. In: AIP Conference Proceedings, vol 2261(1), 1–8 (2020). https://doi.org/10.1063/5.0018988

  23. Kennedy J., Eberhart R.: Particle swarm optimization. In: Proceedings of ICNN’95-International Conference on Neural Networks, Perth, WA, Australia, vol. 4, 1942–1948 (1995). https://doi.org/10.1109/ICNN.1995.488968

  24. Sonamani Singh T., Yadava R.D.S.: Application of PSO clustering for selection of chemical interface materials for sensor array electronic nose. In: Pant, M., Ray, K., Sharma, T., Rawat, S., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications, vol. 583, 449–456, Springer, Singapore (2017). https://doi.org/10.1007/978-981-10-5687-1_40

  25. Kumar, S., Ajmeri, M.: Design of controllers using PSO techniques for second order stable process with time delay. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds), Soft Computing: Theories and Applications, vol. 1154, 143–152, Springer (2019)

    Google Scholar 

  26. Agarwal, M., Srivastava, G.M.S.: A PSO algorithm-based task scheduling in cloud computing. In: Soft Computing: Theories and Applications, pp. 295–301, Springer, Singapore (2017). https://doi.org/10.1007/978-981-13-0589-4_27

  27. Jana, B., Chakraborty, M., Mandal, T.: A task scheduling technique based on particle swarm optimization algorithm in cloud environment. In: Ray, K., Sharma, T., Rawat, S., Saini, R., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol. 742. Springer, Singapore(2019).https://doi.org/10.1007/978-981-13-0589-4_49

  28. Kushwah, V.S., Goyal, S.K., Sharma, A.: Meta-heuristic techniques study for fault tolerance in cloud computing environment: a survey work. In: Ray, K., Sharma, T., Rawat, S., Saini, R., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol. 742. Springer, Singapore (2019).https://doi.org/10.1007/978-981-13-0589-4_1

  29. Yang, D.-Y., Chiang, Y.-C.: An evolutionary algorithm for optimizing the machine repair problem under a threshold recovery policy. J. Chin. N. Inst. Eng. 37(2), 224–231 (2014). https://doi.org/10.1080/02533839.2012.757050

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Vadivukarasi, M., Kalidass, K., Jayaraman, R. (2022). Discussion on the Optimization of Finite Buffer Markovian Queue with Differentiated Vacations. In: Sharma, T.K., Ahn, C.W., Verma, O.P., Panigrahi, B.K. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-1740-9_43

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