Reflecting Brownian Motions and Queueing Networks Vien Nguyen and Ruth Williams Tentative Schedule Lecture 1: Overview Some outline of what will be covered in the lectures, with some general motivation and a simple example of the heavy traffic approximation, e.g., single class tandem queue, without proof -- this would be good to get people interested and also to give them a feel for where this is all going. Lecture 2: SRBM -- existence and uniqueness. One dimensional construction, pathwise theorems (Harrison-Reiman) (state), weak existence and uniqueness (Taylor-Williams) -- state, motivate, maybe describe construction, maybe state Bernard-El Kharroubi oscillation estimate (a key estimate). Mention Dai-Williams result for non-simple polyhedrons (no details). Lecture 3: SRBM -- recurrence, stationary distributions. Recurrence: Dupuis-Williams theorem and application via linear Lyapunov function to show positive recurrence when R=I-P' (single class case) and R^{-1} theta < 0. Stationary distributions: BAR (application of stochastic calculus) State necessary and sufficient conditions for product form solutions (Harrison-Williams result). Mention existence of numerical procedure for finding stationary distribution from BAR. Lecture 4: HT Limit for a multiclass FIFO STATION Introduce notation here which can be used consistently in the following lectures. Use a workload formulation. Heavy traffic limit of multiclass GI/GI/1, FIFO queue, after the style of Peterson -- do this rigorously with scaling explicitly laid out Principle 1: The snapshot principle Principle 2: State space collapse Principle 3: The uniform mixing principle It seems that this is a good way to get the students warmed up to HT approximation because, (i), all the results can be proved rigorously and (ii) this analysis contains many of the important insights into the behavior of queues under heavy traffic conditions. Lecture 5: HT Limit for a (single class FIFO) NETWORK HT limit of open generalized Jackson network -- this can still be done pretty rigorously, as we can rely on the path-to-path mapping Use workload formulation Lecture 6: Performance analysis of a make-to-order manufacturing job shop By this we mean the "QNET" method for analyzing a multiclass FIFO open network (Vien's paper with Mike). Some of the important ideas in this lecture: how to "guess" at the limiting result using heavy traffic principles; the usual "enhancements" of heavy traffic results for better performance measures; show "insightful" numerical examples. Lecture 7: Some surprising examples: unstable networks and unconventional limit theorems HT limits: Dai-Wang, Dai-Nguyen examples Stability: Lu-Kumar/Rybko-Stolyar examples, mention results of Bramson. Mention fluid models for determining stability: Dai, etc. HT limit theorems: Harrison-Williams unconventional heavy traffic limit theorem Lecture 8: Other networks and applications: Performance analysis of make-to-stock and hybrid make-to-order/make-to-stock production systems -- Vien's work on mixed networks; this has a nice structure and provides some good insights into behavior of networks and implications of heavy traffic theory Throughout one can mention extensions and open problems in passing. It would be good to mention optimization as an additional problem which has not been covered here.