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Queues and Risk Models with Simultaneous Arrivals

Published online by Cambridge University Press:  22 February 2016

E. S. Badila*
Affiliation:
Eindhoven University of Technology
O. J. Boxma*
Affiliation:
Eindhoven University of Technology
J. A. C. Resing*
Affiliation:
Eindhoven University of Technology
E. M. M. Winands*
Affiliation:
University of Amsterdam
*
Postal address: Department of Mathematics and Computer Science, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands.
Postal address: Department of Mathematics and Computer Science, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands.
Postal address: Department of Mathematics and Computer Science, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands.
∗∗ Postal address: Korteweg de Vries Instituut voor Wiskunde, University of Amsterdam, PO Box 94248, 1090 GE Amsterdam, The Netherlands.
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Abstract

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We focus on a particular connection between queueing and risk models in a multidimensional setting. We first consider the joint workload process in a queueing model with parallel queues and simultaneous arrivals at the queues. For the case that the service times are ordered (from largest in the first queue to smallest in the last queue), we obtain the Laplace-Stieltjes transform of the joint stationary workload distribution. Using a multivariate duality argument between queueing and risk models, this also gives the Laplace transform of the survival probability of all books in a multivariate risk model with simultaneous claim arrivals and the same ordering between claim sizes. Other features of the paper include a stochastic decomposition result for the workload vector, and an outline of how the two-dimensional risk model with a general two-dimensional claim size distribution (hence, without ordering of claim sizes) is related to a known Riemann boundary-value problem.

MSC classification

Type
General Applied Probability
Copyright
© Applied Probability Trust 

References

Asmussen, S. and Albrecher, H. (2010). Ruin Probabilities, 2nd edn. World Scientific, Hackensack, NJ.Google Scholar
Avram, F., Palmowski, Z. and Pistorius, M. (2008). A two-dimensional ruin problem on the positive quadrant. Insurance Math. Econom. 42, 227234.CrossRefGoogle Scholar
Avram, F., Palmowski, Z. and Pistorius, M. R. (2008). Exit problem of a two-dimensional risk process from the quadrant: exact and asymptotic results. Ann. Appl. Prob. 18, 24212449.CrossRefGoogle Scholar
Baccelli, F. (1985). Two parallel queues created by arrivals with two demands: The M/G/2 symmetrical case. Res. Rep. 426, INRIA-Rocquencourt.Google Scholar
Baccelli, F., Makowski, A. M. and Shwartz, A. (1989). The fork-join queue and related systems with synchronization constraints: stochastic ordering and computable bounds. Adv. Appl. Prob. 21, 629660.CrossRefGoogle Scholar
Badescu, A. L., Cheung, E. C. K. and Rabehasaina, L. (2011). A two-dimensional risk model with proportional reinsurance. J. Appl. Prob. 48, 749765.CrossRefGoogle Scholar
Badila, E. S., Boxma, O. J., Resing, J. A. C. and Winands, E. M. M. (2012). Queues and risk models with simultaneous arrivals. Preprint. Available at http://arxiv.org/abs/1211.2193.Google Scholar
Chan, W.-S., Yang, H. and Zhang, L. (2003). Some results on ruin probabilities in a two-dimensional risk model. Insurance Math. Econom. 32, 345358.Google Scholar
Cohen, J. W. (1988). Boundary value problems in queueing theory. Queueing Systems 3, 97128.Google Scholar
Cohen, J. W. (1992). Analysis of Random Walks. IOS Press, Amsterdam.Google Scholar
Cohen, J. W. and Boxma, O. J. (1983). Boundary Value Problems in Queueing System Analysis. North-Holland, Amsterdam.Google Scholar
De Klein, S. J. (1988). Fredholm integral equations in queueing analysis. , University of Utrecht.Google Scholar
Fayolle, G. and Iasnogorodski, R. (1979). Two coupled processors: the reduction to a Riemann–Hilbert problem. Z. Wahrscheinlichkeitsth. 47, 325351.Google Scholar
Fayolle, G., Iasnogorodski, R. and Malyshev, V. (1999). Random Walks in the Quarter-Plane. Springer, Berlin.Google Scholar
Flatto, L. and Hahn, S. (1984). Two parallel queues created by arrivals with two demands. I. SIAM J. Appl. Math. 44, 10411053. (Erratum: 45 (1985), 168.)CrossRefGoogle Scholar
Frostig, E. (2004). Upper bounds on the expected time to ruin and on the expected recovery time. Adv. Appl. Prob. 36, 377397.CrossRefGoogle Scholar
Gakhov, F. D. (1990). Boundary Value Problems. Dover, New York.Google Scholar
Kella, O. (1993). Parallel and tandem fluid networks with dependent Lévy inputs. Ann. Appl. Prob. 3, 682695.Google Scholar
Löpker, A. and Perry, D. (2010). The idle period of the finite G/M/1 queue with an interpretation in risk theory. Queueing Systems 64, 395407.CrossRefGoogle Scholar
Muskhelishvili, N. I. (2008). Singular Integral Equations, 2nd edn. Dover, Mineola, NY.Google Scholar
Nelson, R. and Tantawi, A. N. (1987). Approximating task response times in fork/join queues. IBM Res. Rep. RC13012.Google Scholar
Nelson, R. and Tantawi, A. N. (1988). Approximate analysis of fork/join synchronization in parallel queues. IEEE Trans. Comput. 37, 739743.Google Scholar
Rolski, T., Schmidli, H., Schmidt, V. and Teugels, J. (1999). Stochastic Processes for Insurance and Finance. John Wiley, Chichester.CrossRefGoogle Scholar
Siegmund, D. (1976). The equivalence of absorbing and reflecting barrier problems for stochastically monotone Markov Processes. Ann. Prob. 4, 914924.CrossRefGoogle Scholar
Wright, P. E. (1992). Two parallel processors with coupled inputs. Adv. Appl. Prob. 24, 9861007.Google Scholar