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OPTIMAL BERNOULLI ROUTING IN AN UNRELIABLE M/G/1 RETRIAL QUEUE

Published online by Cambridge University Press:  02 November 2010

Nathan P. Sherman
Affiliation:
Directorate of Force Management Policy, U.S. Air Force Headquarters, Manpower and Personnel, Washington, DC 20330-1040 E-mail: [email protected]
Jeffrey P. Kharoufeh
Affiliation:
Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA 15261 E-mail: [email protected]

Abstract

Recently, Sherman et al. [14] analyzed an M/G/1 retrial queuing model in which customers are forced to retry their service if interrupted by a server failure. Using classical techniques, they provided a stability analysis, queue length distributions, key performance parameters, and stochastic decomposition results. We analyze the system under a static Bernoulli routing policy that routes a proportion of arriving customers directly to the orbit when the server is busy or failed. In addition to providing the key performance parameters, we show that this system exhibits a dual stability structure, and we characterize the optimal Bernoulli routing policy that minimizes the total expected holding costs per unit time.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2011

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References

1.Aissani, A. & Artalejo, J.R. (1998). On the single server retrial queue subject to breakdowns. Queuing Systems 30(3–4): 309321.CrossRefGoogle Scholar
2.Artalejo, J.R. & Gómez-Corral, A. (2008). Retrial queuing systems: A computational approach. Berlin: Springer-Verlag.CrossRefGoogle Scholar
3.Atencia, I. & Moreno, P. (2005). A single-server retrial queue with general retrial times and Bernoulli schedule. Applied Mathematics and Computation 162(2): 855880.CrossRefGoogle Scholar
4.Casetti, C., Cigno, R.L., & Mellia, M. (2000). Load-balancing solutions for static routing schemes in ATM networks. Computer Networks 34: 169180.CrossRefGoogle Scholar
5.Chang, C.-S., Chao, X., & Pinedo, M. (1990). A note on queues with Bernoulli routing. In Proceedings of the 29th Conference on Decision and Control, Honolulu, pp. 897902.CrossRefGoogle Scholar
6.Choi, B.D. & Park, K.K. (1990). The M/G/1 retrial queue with Bernoulli schedule. Queuing Systems 7(2): 219228.CrossRefGoogle Scholar
7.Combé, M.B. & Boxma, O.J. (1994). Optimization of static traffic allocation policies. Theoretical Computer Science 125(1): 1743.CrossRefGoogle Scholar
8.Falin, G.I. & Templeton, J.G.C. (1997). Retrial queues. London: Chapman & Hall.CrossRefGoogle Scholar
9.Falin, G.I. (2008). The M/M/1 retrial queue with retrials due to failures. Queuing Systems 58: 155160.CrossRefGoogle Scholar
10.Koole, G. (1996).On the pathwise optimal Bernoulli routing policy for homogeneous parallel servers. Mathematics of Operations Research 21(2): 469476.CrossRefGoogle Scholar
11.Liang, H.M. & Kulkarni, V.G. (1999). Optimal routing control in retrial queues. In Shanthi-kumar, J.G. & Sumita, U. (eds.). Applied probability and stochastic processes. Dordrecht: Kluwer Academic Publishers, pp. 203218.CrossRefGoogle Scholar
12.Servi, L. & Humair, S. (1999). Optimizing Bernoulli routing policies for balancing loads on call centers and minimizing transmission costs. Journal of Optimization Theory and Applications 100(3): 623659.CrossRefGoogle Scholar
13.Sherman, N.P. & Kharoufeh, J.P. (2006). An M/M/1 retrial queue with unreliable server. Operations Research Letters 34(6): 697705.CrossRefGoogle Scholar
14.Sherman, N.P., Kharoufeh, J.P., & Abramson, M. (2009). An M/G/1 retrial queue with unreliable server for streaming multimedia applications. Probability in the Engineering and Informational Sciences 23(2): 281304.CrossRefGoogle Scholar