American Institute of Mathematical Sciences

Advanced
October  2012, 8(4): 861-875. doi: 10.3934/jimo.2012.8.861

On the optimal and equilibrium retrial rates in an unreliable retrial queue with vacations

Feng Zhang 1, , Jinting Wang 1, and  Bin Liu 2,

1. 

Department of Mathematics, Beijing Jiaotong University, 100044 Beijing
2. 

Department of Mathematics, University of Northern Iowa, Cedar Falls, IA 50614-0506, United States

Received  September 2011 Revised  July 2012 Published  September 2012

A single-server retrial queue with two types of customers in which the server is subject to vacations along with breakdowns and repairs is studied. Two types of customers arrive to the system in accordance with two different independent Poisson flows. The service times of the two types of customers have two different independent general distributions. We assume that when a service is completed, the server will take vacations after an exponentially distributed reserved time. It is assumed that the server has an exponentially distributed lifetime, a generally distributed vacation time and a generally distributed repair time. There is no waiting space in front of the server, therefore, if the server is found busy, or on vacation, or down, the blocked two types of customers form two sources of repeated customers. Explicit expressions are derived for the expected number of retrial customers of each type. Additionally, by assuming both types of customers face linear costs for waiting and retrial, we discuss and compare the optimal and equilibrium retrial rates regarding the situations in which the customers are cooperative or noncooperative, respectively.
Keywords: optimal retrial rate, equilibrium retrial rate, vacation., breakdowns and repairs, Retrial queue.
Mathematics Subject Classification: Primary: 60K25; Secondary: 90B2.
Citation: Feng Zhang, Jinting Wang, Bin Liu. On the optimal and equilibrium retrial rates in an unreliable retrial queue with vacations. Journal of Industrial & Management Optimization, 2012, 8 (4) : 861-875. doi: 10.3934/jimo.2012.8.861
References:
[1]

J. R. Artalejo and A. Gómez-Corral, "Retrial Queueing Systems: A Computational Approach," Springer, Berlin, 2008. doi: 10.1007/978-3-540-78725-9.  Google Scholar

[2]

A. Economou and S. Kanta, Equilibrium balking strategiesin the observable single-server queue with breakdowns and repairs, Operations Research Letters, 36 (2008), 696-699. doi: 10.1016/j.orl.2008.06.006.  Google Scholar

[3]

A. Economou, A. Gomez-Corral and S. Kanta, Optimal balking strategies insingle-server queues with general service and vacation times, Performance Evaluation, 68 (2011), 967-982. doi: 10.1016/j.peva.2011.07.001.  Google Scholar

[4]

N. M. Edelson and K. Hildebrand, Congestion tolls for Poisson queueing processes, Econometrica, 43 (1975), 81-92. doi: 10.2307/1913415.  Google Scholar

[5]

A. Elcan, Optimal customer return rate for an M/M/1 queueing system with retrials, Probability in the Engineering and Informational Sciences, 8 (1994), 521-539. doi: 10.1017/S0269964800003600.  Google Scholar

[6]

G. I. Falin and J. G. C. Templeton, "Retrial Queues," Chapman & Hall, London, 1997. Google Scholar

[7]

P. Guo and R. Hassin, Strategic behavior and social optimization in Markovian vacation queues, Operations Research, 59 (2011), 986-997. doi: 10.1287/opre.1100.0907.  Google Scholar

[8]

R. Hassin and M. Haviv, On optimal and equilibrium retrial rates in a queueing system, Probability in the Engineering and Informational Sciences, 10 (1996), 223-227. doi: 10.1017/S0269964800004290.  Google Scholar

[9]

R. Hassin and M. Haviv, "To Queue or Not to Queue: Equilibrium Behaviorin Queueing Systems," Kluwer Academic Publishers, Boston, 2003. doi: 10.1007/978-1-4615-0359-0.  Google Scholar

[10]

V. G. Kulkarni, A game theoretic model for two types of customers competing for service, Operation Research Letters, 2 (1983), 119-122.  Google Scholar

[11]

V. G. Kulkarni, On queueing systems with retrials, Journal of Applied Probability, 20 (1983), 380-389. doi: 10.2307/3213810.  Google Scholar

[12]

P. Naor, The regulation of queue size by levying toll, Econometrica, 37 (1969), 15-24. doi: 10.2307/1909200.  Google Scholar

[13]

S. Stidham, Jr., "Optimal Design of Queueing Systems," CRC Press, Taylor and Francis Group, Boca Raton, 2009.  Google Scholar

[14]

N. Tian and Z. G. Zhang, "Vacation Queueing Models: Theory and Applications," Springer, New York, 2006.  Google Scholar

[15]

J. Wang, J. Cao and Q. Li, Reliability analysis of the retrial queue with server breakdowns and repairs, Queueing Systems, 38 (2001), 363-380. doi: 10.1023/A:1010918926884.  Google Scholar

[16]

J. Wang and F. Zhang, Equilibrium analysis of the observable queueswith balking and delayed repairs, Applied Mathematics and Computation, 218 (2011), 2716-2729. doi: 10.1016/j.amc.2011.08.012.  Google Scholar

show all references

References:
[1]

J. R. Artalejo and A. Gómez-Corral, "Retrial Queueing Systems: A Computational Approach," Springer, Berlin, 2008. doi: 10.1007/978-3-540-78725-9.  Google Scholar

[2]

A. Economou and S. Kanta, Equilibrium balking strategiesin the observable single-server queue with breakdowns and repairs, Operations Research Letters, 36 (2008), 696-699. doi: 10.1016/j.orl.2008.06.006.  Google Scholar

[3]

A. Economou, A. Gomez-Corral and S. Kanta, Optimal balking strategies insingle-server queues with general service and vacation times, Performance Evaluation, 68 (2011), 967-982. doi: 10.1016/j.peva.2011.07.001.  Google Scholar

[4]

N. M. Edelson and K. Hildebrand, Congestion tolls for Poisson queueing processes, Econometrica, 43 (1975), 81-92. doi: 10.2307/1913415.  Google Scholar

[5]

A. Elcan, Optimal customer return rate for an M/M/1 queueing system with retrials, Probability in the Engineering and Informational Sciences, 8 (1994), 521-539. doi: 10.1017/S0269964800003600.  Google Scholar

[6]

G. I. Falin and J. G. C. Templeton, "Retrial Queues," Chapman & Hall, London, 1997. Google Scholar

[7]

P. Guo and R. Hassin, Strategic behavior and social optimization in Markovian vacation queues, Operations Research, 59 (2011), 986-997. doi: 10.1287/opre.1100.0907.  Google Scholar

[8]

R. Hassin and M. Haviv, On optimal and equilibrium retrial rates in a queueing system, Probability in the Engineering and Informational Sciences, 10 (1996), 223-227. doi: 10.1017/S0269964800004290.  Google Scholar

[9]

R. Hassin and M. Haviv, "To Queue or Not to Queue: Equilibrium Behaviorin Queueing Systems," Kluwer Academic Publishers, Boston, 2003. doi: 10.1007/978-1-4615-0359-0.  Google Scholar

[10]

V. G. Kulkarni, A game theoretic model for two types of customers competing for service, Operation Research Letters, 2 (1983), 119-122.  Google Scholar

[11]

V. G. Kulkarni, On queueing systems with retrials, Journal of Applied Probability, 20 (1983), 380-389. doi: 10.2307/3213810.  Google Scholar

[12]

P. Naor, The regulation of queue size by levying toll, Econometrica, 37 (1969), 15-24. doi: 10.2307/1909200.  Google Scholar

[13]

S. Stidham, Jr., "Optimal Design of Queueing Systems," CRC Press, Taylor and Francis Group, Boca Raton, 2009.  Google Scholar

[14]

N. Tian and Z. G. Zhang, "Vacation Queueing Models: Theory and Applications," Springer, New York, 2006.  Google Scholar

[15]

J. Wang, J. Cao and Q. Li, Reliability analysis of the retrial queue with server breakdowns and repairs, Queueing Systems, 38 (2001), 363-380. doi: 10.1023/A:1010918926884.  Google Scholar

[16]

J. Wang and F. Zhang, Equilibrium analysis of the observable queueswith balking and delayed repairs, Applied Mathematics and Computation, 218 (2011), 2716-2729. doi: 10.1016/j.amc.2011.08.012.  Google Scholar

[1]

Jinting Wang, Linfei Zhao, Feng Zhang. Analysis of the finite source retrial queues with server breakdowns and repairs. Journal of Industrial & Management Optimization, 2011, 7 (3) : 655-676. doi: 10.3934/jimo.2011.7.655
[2]

Arnaud Devos, Joris Walraevens, Tuan Phung-Duc, Herwig Bruneel. Analysis of the queue lengths in a priority retrial queue with constant retrial policy. Journal of Industrial & Management Optimization, 2020, 16 (6) : 2813-2842. doi: 10.3934/jimo.2019082
[3]

Dhanya Shajin, A. N. Dudin, Olga Dudina, A. Krishnamoorthy. A two-priority single server retrial queue with additional items. Journal of Industrial & Management Optimization, 2020, 16 (6) : 2891-2912. doi: 10.3934/jimo.2019085
[4]

Yi Peng, Jinbiao Wu. Analysis of a batch arrival retrial queue with impatient customers subject to the server disasters. Journal of Industrial & Management Optimization, 2021, 17 (4) : 2243-2264. doi: 10.3934/jimo.2020067
[5]

Tuan Phung-Duc, Ken'ichi Kawanishi. Multiserver retrial queue with setup time and its application to data centers. Journal of Industrial & Management Optimization, 2019, 15 (1) : 15-35. doi: 10.3934/jimo.2018030
[6]

Ke Sun, Jinting Wang, Zhe George Zhang. Strategic joining in a single-server retrial queue with batch service. Journal of Industrial & Management Optimization, 2021, 17 (6) : 3309-3332. doi: 10.3934/jimo.2020120
[7]

Shaojun Lan, Yinghui Tang. Performance analysis of a discrete-time $ Geo/G/1$ retrial queue with non-preemptive priority, working vacations and vacation interruption. Journal of Industrial & Management Optimization, 2019, 15 (3) : 1421-1446. doi: 10.3934/jimo.2018102
[8]

Gang Chen, Zaiming Liu, Jinbiao Wu. Optimal threshold control of a retrial queueing system with finite buffer. Journal of Industrial & Management Optimization, 2017, 13 (3) : 1537-1552. doi: 10.3934/jimo.2017006
[9]

Tuan Phung-Duc, Ken’ichi Kawanishi. Multiserver retrial queues with after-call work. Numerical Algebra, Control & Optimization, 2011, 1 (4) : 639-656. doi: 10.3934/naco.2011.1.639
[10]

Tuan Phung-Duc. Single server retrial queues with setup time. Journal of Industrial & Management Optimization, 2017, (3) : 1329-1345. doi: 10.3934/jimo.2016075
[11]

Jesus R. Artalejo, Tuan Phung-Duc. Markovian retrial queues with two way communication. Journal of Industrial & Management Optimization, 2012, 8 (4) : 781-806. doi: 10.3934/jimo.2012.8.781
[12]

Tuan Phung-Duc, Wouter Rogiest, Sabine Wittevrongel. Single server retrial queues with speed scaling: Analysis and performance evaluation. Journal of Industrial & Management Optimization, 2017, 13 (4) : 1927-1943. doi: 10.3934/jimo.2017025
[13]

Balasubramanian Krishna Kumar, Ramachandran Navaneetha Krishnan, Rathinam Sankar, Ramasamy Rukmani. Analysis of dynamic service system between regular and retrial queues with impatient customers. Journal of Industrial & Management Optimization, 2020  doi: 10.3934/jimo.2020153
[14]

Tuan Phung-Duc, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi. M/M/3/3 and M/M/4/4 retrial queues. Journal of Industrial & Management Optimization, 2009, 5 (3) : 431-451. doi: 10.3934/jimo.2009.5.431
[15]

Bara Kim. Stability of a retrial queueing network with different classes of customers and restricted resource pooling. Journal of Industrial & Management Optimization, 2011, 7 (3) : 753-765. doi: 10.3934/jimo.2011.7.753
[16]

Tuan Phung-Duc, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi. State-dependent M/M/c/c + r retrial queues with Bernoulli abandonment. Journal of Industrial & Management Optimization, 2010, 6 (3) : 517-540. doi: 10.3934/jimo.2010.6.517
[17]

Madhu Jain, Sudeep Singh Sanga. Admission control for finite capacity queueing model with general retrial times and state-dependent rates. Journal of Industrial & Management Optimization, 2020, 16 (6) : 2625-2649. doi: 10.3934/jimo.2019073
[18]

Yi Peng, Jinbiao Wu. On the $ BMAP_1, BMAP_2/PH/g, c $ retrial queueing system. Journal of Industrial & Management Optimization, 2021, 17 (6) : 3373-3391. doi: 10.3934/jimo.2020124
[19]

Gopinath Panda, Veena Goswami, Abhijit Datta Banik, Dibyajyoti Guha. Equilibrium balking strategies in renewal input queue with Bernoulli-schedule controlled vacation and vacation interruption. Journal of Industrial & Management Optimization, 2016, 12 (3) : 851-878. doi: 10.3934/jimo.2016.12.851
[20]

Sung-Seok Ko. A nonhomogeneous quasi-birth-death process approach for an $ (s, S) $ policy for a perishable inventory system with retrial demands. Journal of Industrial & Management Optimization, 2020, 16 (3) : 1415-1433. doi: 10.3934/jimo.2019009

2020 Impact Factor: 1.801

Tools

Metrics

  • PDF downloads (61)
  • HTML views (0)
  • Cited by (13)

Other articles
by authors

[Back to Top]

Copyright © 2021 American Institute of Mathematical Sciences | Privacy Policy