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Fluid limits and diffusion approximations for networks of multi-server queues in heavy traffic

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Abstract

A Functional Strong-Law-of-Large-Numbers (known as fluid limit or fluid approximation) and a Functional Central Limit Theorem (known as diffusion approximation) are proved for both open and closed networks of multi-server queues in heavy traffic. The fluid limit is a reflected piecewise linear deterministic process, and the diffusion limit is a reflected Brownian motion; both limiting processes are on the nonnegative orthant for open networks and on the nonnegative unit simplex for closed networks. The results generalize the existing ones for networks of single-server queues.

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References

  • F. Baskett, K. M. Chandy, R. R. Muntz, and F. G. Palacios. Open, closed and mixed networks of queues with different classes of customers.J. ACM, 22:248–260, 1975.

    Google Scholar 

  • P. Billingsley.Convergence of Probability Measure. Wiley, 1968.

  • H. Chen and A. Mandelbaum. Stochastic Leontief systems in continuous time. To appear in M. H. A. Davis and R. J. Elliott, editors,Proceedings of the Imperial College Workshop on Applied Stochastic Processes. Gordon and Breach Science, 1990.

  • H. Chen and A. Mandelbaum. Discrete flow networks: Bottleneck analysis and fluid approximations.Math of OR, 16:408–446, 1991a.

    Google Scholar 

  • H. Chen and A. Mandelbaum. Stochastic discrete flow networks: Diffusion approximations and bottlenecks.The Annals of Probability 19:1463–1519, 1991b.

    Google Scholar 

  • H. Chen and W. Whitt. Diffusion approximations for open queueing networks with service interruptions.Queueing Systems, 13:335–359, 1993.

    Google Scholar 

  • J. Dai.Steady-State Analysis of Reflected Brownian Motions: Characterization, Numerical Methods and Queueing Applications. Ph.D. dissertation, Dept. of Mathematics, Stanford University, 1990.

  • J. Dai and J. M. Harrison. Steady-state analysis of RBM in a rectangle: Numerical methods and a queueing application.Annals of Appl. Prob., 1:16–35, 1991.

    Google Scholar 

  • J. Dai and J. M. Harrison: Reflected Brownian motion in an orthant: Numerical methods for steady-state analysis.Annals of Appl. Prob. 2:65–86, 1992.

    Google Scholar 

  • C. Flores. Diffusion approximations for computer communications networks. In B. Gopinath, editors,Computer Communications, Proc. Symp. Appl. Math., pp. 83–124. American Mathematical Society, 1985.

  • P. M. Glynn. Diffusion approximations. In D. P. Heyman and M. J. Sobel, editors,Handbooks in Operations Research and Management Science, Vol. 2 ofStochastic Models. North-Holland, 1990.

  • P. W. Glynn and W. Whitt: A central-limit-theorem version ofLW.Queueing Systems, 2:191–215, 1986.

    Google Scholar 

  • J. M. Harrison and A. J. Lemoine. A note on networks of infinite-server queues.J. Appl. Prob., 18:561–567 1981.

    Google Scholar 

  • J. M. Harrison and V. Nguyen. The QNET method for two-moment analysis of open queueing networks.Queueing Systems, 6:1–32, 1990.

    Google Scholar 

  • J. M. Harrison and M. I. Reiman. Reflected Brownian motion on an orthant.The Annals of Probability, 9: 302–308, 1981a.

    Google Scholar 

  • J. M. Harrison and M. I. Reiman. On the distribution of multi-dimensional reflected Brownian motion.SIAM J. Appl. Math., 41:345–361, 1981b.

    Google Scholar 

  • J. M. Harrison and R. Williams. Brownian models of open queueing networks with homogeneous customer populations.Stochastics, 22:77–115, 1987

    Google Scholar 

  • J. M. Harrison, R. Williams, and H. Chen. Brownian models of closed queueing networks.Stochastics and Stochastic Reports, 29:37–74, 1990.

    Google Scholar 

  • D. L. Igelhart and W. Whitt: Multiple channel queues in heavy traffic, I.Adv. Appl. Prob., 2:150–177, 1970a.

    Google Scholar 

  • D. L. Igelhart and W. Whitt. Multiple channel queues in heavy traffic, II.Adv. Appl. Prob., 2:355–364, 1970b.

    Google Scholar 

  • D. P. Johnson.Diffusion Approximations for Optimal Filtering of Jump Processes and for Queueing Networks. Ph.D. dissertation, University of Wisconsin, 1983.

  • F. P. Kelly.Reversibility and Stochastic Networks. Wiley, 1979.

  • A. J. Lemoine. Network of queues—A survey of weak convergence results.Management Science, 24:1175–1193. 1978.

    Google Scholar 

  • R. Loulou. On the extension of congestion theorems to multi-channel systems. 1974.

  • G. F. Newell.Applications of Queueing Theory. Chapman and Hall, 1982.

  • W. P. Peterson. A heavy traffic limit theorem for networks of queues with multiple customer types.Math. of OR, 16:90–118, 1985.

    Google Scholar 

  • M. I. Reiman. The heavy traffic diffusion approximation for sojourn times in Jackson networks. In R. L. Disney and T. J. Ott, editors,Applied Probability Computer Science, The Interface, II, pp. 409–422. Birkhauser, Boston, 1982.

    Google Scholar 

  • M. I. Reiman. Open queueing networks in heavy traffic.Math. of OR, 9:441–458, 1984.

    Google Scholar 

  • H. L. Royden.Real Analysis. Macmillan, NY, 1988.

    Google Scholar 

  • J. G. Shanthikumar and D. D. Yao. Stochastic monotonicity in general queueing networks.J. Appl. Prob., 26:413–417, 1989.

    Google Scholar 

  • A. V. Skorohod. Limit theorems for stochastic processes.Theor. Prob. Appl., 1:261–290, 1956.

    Google Scholar 

  • A. V. Skorohod. Stochastic differential equations for a bounded region.Theor. Prob. Appl., 6:264–274, 1961.

    Google Scholar 

  • W. Whitt. Heavy traffic theorems for queues: A survey. In A. B. Clark, editor,Mathematical Methods in Queueing Theory. Springer-Verlag, 1974.

  • W. Whitt: Some useful functions for functional limit theorems.Math. of OR, 5:67–85, 1980.

    Google Scholar 

  • W. Whitt. On the heavy-traffic limit theorem forGI/G/∞ queues.Adv. in Appl. Prob., 14:171–190, 1982.

    Google Scholar 

  • P. Yang.Pathwise Solutions for a Class of Linear Stochastic Systems. Ph.D. disseration, Department of Operations Research, Stanford University, 1988.

  • H. Zhang, G. Hsu, and R. Wang. Strong approximations for multiple channel queues in heavy traffic.J. Appl. Prob., 27, 1990.

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Chen, H., Shanthikumar, J.G. Fluid limits and diffusion approximations for networks of multi-server queues in heavy traffic. Discrete Event Dyn Syst 4, 269–291 (1994). https://doi.org/10.1007/BF01438710

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