Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-23T23:19:12.248Z Has data issue: false hasContentIssue false

The diffusion approximation for tandem queues in heavy traffic

Published online by Cambridge University Press:  01 July 2016

J. Michael Harrison*
Affiliation:
Stanford University

Abstract

Consider a pair of single server queues arranged in series. (This is the simplest example of a queuing network.) In an earlier paper [2], a limit theorem was proved to justify a heavy traffic approximation for the (two-dimensional) equilibrium waiting-time distribution. Specifically the waiting-time distribution was shown to be approximated by the limit distribution F of a certain vector stochastic process Z. The process Z was defined as an explicit, but relatively complicated, transformation of vector Brownian motion, and the general problem of determining F was left unsolved.

It is shown in this paper that Z is a diffusion process (continuous strong Markov process) whose state space S is the non-negative quadrant. On the interior of S, the process behaves as an ordinary vector Brownian motion, and it reflects instantaneously at each boundary surface (axis). At one axis, the reflection is normal, but at the other axis it has a tangential component as well. The generator of Z is calculated.

It is shown that the limit distribution F is the solution of a first-passage problem for a certain dual diffusion process Z. The generator of Z is calculated, and the analytical theory of Markov processes is used to derive a partial differential equation (with boundary conditions) for the density f of F. Necessary and sufficient conditions are found for f to be separable (for the limit distribution to have independent components). This extends slightly the class of explicit solutions found previously in [2]. Another special case is solved explicitly, showing that the density is not in general separable.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1978 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Dynkin, E. B. (1965) Markov Processes, Vol. 1. Springer-Verlag, New York.Google Scholar
[2] Harrison, J. M. (1973) The heavy traffic approximation for single server queues in series. J. Appl. Prob. 10, 613629.CrossRefGoogle Scholar
[3] Iglehart, D. L. and Whitt, W. (1970) Multiple channel queues in heavy traffic. II: Sequences, networks and batches. Adv. Appl. Prob. 2, 355369.CrossRefGoogle Scholar
[4] Ito, K. (1961) Lecture Notes on Stochastic Processes. Tata Institute for Fundamental Research, Bombay.Google Scholar
[5] Reiman, M. (1977) Queuing Networks in Heavy Traffic. Ph.D. Dissertation, Department of Operations Research, Stanford University.Google Scholar
[6] Stroock, D. W. and Varadhan, S. R. S. (1971) Diffusion processes with boundary conditions. Comm. Pure Appl. Math. 24, 147225.CrossRefGoogle Scholar
[7] Watanabe, S. (1971) On stochastic differential equations for multidimensional diffusion processes with boundary conditions. J. Math. Kyoto Univ. 11, 164180.Google Scholar