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Large Deviations for Performance Analysis: Queues, Communications, and Computing, Adam Shwartz and Alan Weiss (New York: Chapman and Hall, 1995).

Published online by Cambridge University Press:  27 July 2009

Michel Mandjes
Michel Mandjes
Affiliation:
Department of Econometrics, Vrije Universiteit, Amsterdam, The Netherlands
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Abstract

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Type
Book Reviews
Information
Probability in the Engineering and Informational Sciences , Volume 10 , Issue 4 , October 1996 , pp. 613 - 614
Copyright
Copyright © Cambridge University Press 1996

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References

1.Asmussen, S. & Rubinstein, R. (1995). Steady state rare event simulation in queueing models and its complexity properties. In Dshalalow, J. (ed.). Advances in queueing: Theory, methods and open problems. Boca Raton, FL: CRC Press, pp. 429–462.Google Scholar
2.Bucklew, J.A. (1990). Large deviation techniques in decision, simulation, and estimation. New York: Wiley.Google Scholar
3.Dembo, A. & Zeitouni, O. (1993). Large deviations techniques and applications. Boston: Jones and Bartlett.Google Scholar
4.Deuschel, J.D. & Stroock, D.W. (1989). Large deviations. Boston: Academic Press.Google Scholar
5.Donsker, M.D. & Varadhan, S.R.S. (1975). Asymptotic evaluation of certain Markov process expectations for large time, I and II. Communications on Pure and Applied Mathematics 28: 1–47, 279–301.CrossRefGoogle Scholar
6.Freidlin, M.I. & Wentzell, A.D. (1984). Random perturbations of dynamical systems. New York: Springer-Verlag.CrossRefGoogle Scholar
7.Kesidis, G., Walrand, J., & Chang, C.S. (1993). Effective bandwidths for multiclass Markov fluids and other ATM sources. IEEE/ACM Transactions on Networking 1: 424–428.CrossRefGoogle Scholar