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Loss Systems with Slow Retrials in the Halfin–Whitt Regime

Published online by Cambridge University Press:  04 January 2016

F. Avram*
Affiliation:
Université de Pau et des Pays de l'Adour
A. J. E. M. Janssen*
Affiliation:
Eindhoven University of Technology and EURANDOM
J. S. H. Van Leeuwaarden*
Affiliation:
Eindhoven University of Technology
*
Postal address: Département de Mathématiques, Université de Pau et des Pays de l'Adour, Avenue de l'Université - BP 1155, 64013 Pau Cedex, France. Email address: [email protected]
∗∗ Postal address: Department of Mathematics and Computer Science and Department of Electrical Engineering, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands. Email address: [email protected]
∗∗∗ Postal address: Department of Mathematics and Computer Science, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands. Email address: [email protected]
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Abstract

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The Halfin–Whitt regime, or the quality-and-efficiency-driven (QED) regime, for multiserver systems refers to a situation with many servers, a critical load, and yet favorable system performance. We apply this regime to the classical multiserver loss system with slow retrials. We derive nondegenerate limiting expressions for the main steady-state performance measures, including the retrial rate and the blocking probability. It is shown that the economies of scale associated with the QED regime persist for systems with retrials, although in situations when the load becomes extremely critical the retrials cause deteriorated performance. Most of our results are obtained by a detailed analysis of Cohen's equation that defines the retrial rate in an implicit way. The limiting expressions are established by studying prelimit behavior and exploiting the connection between Cohen's equation and Mills' ratio for the Gaussian and Poisson distributions.

Type
General Applied Probability
Copyright
© Applied Probability Trust 

References

Abramowitz, M. and Stegun, I. A. (1970). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. US Government Printing Office, Washington, DC.Google Scholar
Aguire, M. S., Aksin, O. Z., Karaesmen, F. and Dallery, Y. (2008). On the interaction of retrials and sizing of call centers. Europ. J. Operat. Res. 191, 398408.CrossRefGoogle Scholar
Artalejo, J. R. and Gómez-Corral, A. (2008). Retrial Queueing Systems. Springer, Berlin.CrossRefGoogle Scholar
Borst, S., Mandelbaum, A. and Reiman, M. I. (2004). Dimensioning large call centers. Operat. Res. 52, 1734.CrossRefGoogle Scholar
Cohen, J. W. (1957). Basic problems of telephone traffic theory and the influence of repeated calls. Philips Telecommun. Rev. 18, 49100.Google Scholar
Falin, G. I. and Templeton, J. G. C. (1997). Retrial Queues. Chapman & Hall, London.CrossRefGoogle Scholar
Halfin, S. and Whitt, W. (1981). Heavy-traffic limits for queues with many exponential servers. Operat. Res. 29, 567588.CrossRefGoogle Scholar
Jagers, A. A. and van Doorn, E. A. (1986). On the continued Erlang loss function. Operat. Res. Lett. 5, 4346.CrossRefGoogle Scholar
Janssen, A. J. E. M., van Leeuwaarden, J. S. H. and Zwart, B. (2008). Gaussian expansions and bounds for the Poisson distribution applied to the Erlang B formula. Adv. Appl. Prob. 40, 122143.CrossRefGoogle Scholar
Janssen, A. J. E. M., van Leeuwaarden, J. S. H. and Zwart, B. (2011). Refining square-root safety staffing by expanding Erlang C. Operat. Res. 59, 15121522.CrossRefGoogle Scholar
Sampford, M. R. (1953). Some inequalities on Mill's ratio and related functions. Ann. Math. Statist. 24, 130132.CrossRefGoogle Scholar
Zhang, B., van Leeuwaarden, J. S. H. and Zwart, B. (2013). Refined square-root staffing for call centers with impatient customers. To appear in Operat. Res. Google Scholar