The Reflection Map with Discontinuities

References

  • Abate J., Whitt W. The Fourier-series method for inverting transforms of probability distributions. Queueing Sys. (1992) 10:5–88CrossrefGoogle Scholar
  • Beneš V. E.General Stochastic Processes in the Theory of Queues (1963) (Addison-Wesley, Reading, MA) Google Scholar
  • Berger A. W., Whitt W. The Brownian approximation for rate-control throttles and the G/G/1/C queue. J. Disc. Event Dynamic Sys. (1992) 2:7–60CrossrefGoogle Scholar
  • Billingsley P.Convergence of Probability Measures (1968) (Wiley, New York) Google Scholar
  • Chen H., Mandelbaum A. Discrete flow networks: Bottleneck analysis and fluid approximation. Math. Oper. Res. (1991a) 16:408–446LinkGoogle Scholar
  • Chen H., Mandelbaum A. Discrete flow networks: Diffusion approximations and bottlenecks. Ann. Probab. (1991b) 19:1463–1519CrossrefGoogle Scholar
  • Chen H., Mandelbaum A., Davis M. H. A., Elliot R. J. Leontief systems, RBV's and RBM's. Proc. Imperial College Workshop on Applied Stochastic Processes (1991c) (Gordon and Breach, London) Google Scholar
  • Chen H., Whitt W. Diffusion approximations for open queueing networks with service interruptions. Queueing Sys. (1993) 13:335–359CrossrefGoogle Scholar
  • Chen H., Yao D. D.Fundamentals of Queueing Networks: Performance, Asymptotics and Optimization (2001) (Springer, New York) CrossrefGoogle Scholar
  • Cottle R. W., Pang J.-S., Stone R. E.The Linear Complementarity Problem (1992) (Academic, New York) Google Scholar
  • Csörgő M., Rëvész P.Strong Approximations in Probability and Statistics (1981) (Academic, New York) Google Scholar
  • Dupuis P., Ishii H. On when the solution to the Skorohod problem is Lipschitz continuous with applications. Stochastics (1991) 35:31–62Google Scholar
  • Dupuis P., Ramanan K. Convex duality and the Skorohod problem—I. Probab. Theory Rel. Fields (1999a) 115:153–195CrossrefGoogle Scholar
  • Dupuis P., Ramanan K. Convex duality and the Skorohod problem—II. Probab. Theory Rel. Fields (1999b) 115:197–236CrossrefGoogle Scholar
  • Harrison J. M.Brownian Motion and Stochastic Flow Systems (1985) (Wiley, New York) Google Scholar
  • Harrison J. M., Reiman M. I. Reflected Brownian motion in an orthant. Ann. Probab. (1981) 9:302–308CrossrefGoogle Scholar
  • Harrison J. M., Williams R. J. A multiclass closed queueing network with unconventional heavy traffic behavior. Ann. Appl. Probab. (1996) 6:1–47CrossrefGoogle Scholar
  • Iglehart D. L., Whitt W. Multiple channel queues in heavy traffic—II. Adv. Appl. Probab. (1970a) 2:150–177CrossrefGoogle Scholar
  • Iglehart D. L., Whitt W. Multiple channel queues in heavy traffic—II. Adv. Appl. Probab. (1970b) 2:355–369CrossrefGoogle Scholar
  • Jacod J., Shiryaev A. N.Limit Theorems for Stochastic Processes (1987) (Springer-Verlag, New York) CrossrefGoogle Scholar
  • Kella O. Parallel and tandem fluid networks with dependent Lévy inputs. Ann. Appl. Probab. (1993) 3:682–695CrossrefGoogle Scholar
  • Kella O. Stability and nonproduct form of stochastic fluid networks with Lévy inputs. Ann. Appl. Probab. (1996) 6:186–199CrossrefGoogle Scholar
  • Kella O., Whitt W. Diffusion approximations for queues with server vacations. Adv. Appl. Probab. (1990) 22:706–729CrossrefGoogle Scholar
  • Kella O., Whitt W., Basawa I. V., Bhat U. N. A tandem fluid network with Lévy input. Queues and Related Models (1992) (Oxford University Press, Oxford) 112–128Google Scholar
  • Kella O., Whitt W. Stability and structural properties of stochastic storage networks. J. Appl. Probab. (1996) 33:1169–1180CrossrefGoogle Scholar
  • Konstantopoulos T. The Skorohod reflection problem for functions with discontinuities (contractive case). (1999) (University of Texas, Austin) Google Scholar
  • Konstantopoulos T., Lin S.-J. Fractional Brownian motion as limits of stochastic traffic models. Proceedings of the 34th Allerton Conference on Communication, Control and Computing (1996) University of Illinois:913–922Google Scholar
  • Konstantopoulos T., Lin S.-J. Macroscopic models for long-range dependent network traffic. Queueing Sys. (1998) 28:215–243CrossrefGoogle Scholar
  • Kushner H.Heavy Traffic Analysis of Controlled and Uncontrolled Queueing and Communication Networks (2001) (Springer, New York) CrossrefGoogle Scholar
  • Lindvall T. Weak convergence of probability measures and random functions in the function space D[0, ∞). J. Appl. Probab. (1973) 10:109–121CrossrefGoogle Scholar
  • Lions P.-L., Sznitman A.-S. Stochastic differential equations with reflecting boundary conditions. Coomun. Pure Appl. Math. (1984) 37:511–553CrossrefGoogle Scholar
  • Mandelbaum A., Massey W. A. Strong approximations for time-dependent queues. Math. Oper. Res. (1995) 20:33–64LinkGoogle Scholar
  • Park K., Willinger W.Self-Similar Network Traffic and Performance Evaluation (2000) (Wiley, New York) CrossrefGoogle Scholar
  • Pollard D.Convergence of Stochastic Processes (1984) (Springer-Verlag, New York) CrossrefGoogle Scholar
  • Puhalskii A. A., Whitt W. Functional large deviation principles for first-passage-time processes. Ann. Appl. Probab. (1997) 7:362–381CrossrefGoogle Scholar
  • Puhalskii A. A., Whitt W. Functional large deviation principles for waiting and departure processes. Probab. Engrg. Info. Sci. (1998) 12:479–507CrossrefGoogle Scholar
  • Reiman M. I. Open queueing networks in heavy traffic. Math. Oper. Res. (1984) 9:441–458LinkGoogle Scholar
  • Resnick S., van den Berg E. Weak convergence of high-speed network traffic models. J. Appl. Probab. (2000) 37:575–597CrossrefGoogle Scholar
  • Skorohod A. V. Limit theorems for stochastic processes. Theory Probab. Appl. (1956) 1:261–290CrossrefGoogle Scholar
  • Skorohod A. V. Stochastic differential equations for a bounded region. Theory Probab. Appl. (1961) 6:264–274CrossrefGoogle Scholar
  • Tanaka H. Stochastic differential equations with reflecting boundary conditions in convex regions. Hiroshima Math. J. (1979) 9:163–177CrossrefGoogle Scholar
  • Whitt W. Preservation of rates of convergence under mappings. Zeit. Wahrscheinlichskeitstheorie verw. Gebiete (1974) 29:39–44CrossrefGoogle Scholar
  • Whitt W. Some useful functions for functional limit theorems. Math. Oper. Res. (1980) 5:67–85LinkGoogle Scholar
  • Whitt W. Limits for cumulative input processes to queues. Probab. Engrg. Info. Sci. (2000a) 14:123–150CrossrefGoogle Scholar
  • Whitt W. An overview of Brownian and non-Brownian FCLTs for the single server queue. Queueing Sys. (2000b) 36:39–70CrossrefGoogle Scholar
  • Whitt W.Stochastic-Process Limits (2001) (Springer, New York) . In preparation. http://www.research.att.com/∼wowGoogle Scholar
  • Williams R. J. Reflected Brownian motion with skew symmetric data in a polyhedral domain. Probab. Rel. Fields (1987) 75:459–485CrossrefGoogle Scholar
  • Williams R. J., Kelly F. P., Williams R. J. Semimartingale reflecting Brownian motions in the orthant. Stochastic Networks (1995) (Springer-Verlag, New York) 125–137CrossrefGoogle Scholar
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