Characterization and Optimization of Achievable Performance in General Queueing Systems
نویسندگان
چکیده
This paper considers general (single facility) queueing systems with exponential service times, dealing with a finite number J of distinct customer classes. Performance of the system, as measured by the vector of steady state expected sojourn times of the customer classes (the performance vector) may be controlled by adopting an appropriate preemptive priority discipline. We show that the performance space, the set of performance vectors which are achievable under some preemptive work conserving rule, is a polyhedron described by 2J 1 (in)equalities. The special structure of this polyhedron nevertheless allows for efficient procedures to minimize any separable convex function of the performance vector. Linear objectives are shown to be minimized by absolute priority rules, thus generalizing a well known result for M/M/ 1 systems. We also show that each point in the performance space may be achieved by a specific randomization of at most J + 1 absolute priority rules.
منابع مشابه
The Achievable Region Approach to the Optimal Control of Stochastic Systems
The achievable region approach seeks solutions to stochastic optimisation problems by: (i) characterising the space of all possible performances (the achievable region) of the system of interest, and (ii) optimising the overall system-wide performance objective over this space. This is radically di erent from conventional formulations based on dynamic programming. The approach is explained with...
متن کاملThe achievable region method in the optimal control of queueing systems; formulations, bounds and policies
We survey a new approach that the author and his co-workers have developed to formulate stochastic control problems (predominantly queueing systems) as mathematical programming problems. The central idea is to characterize the region of achievable performance in a stochastic control problem, i.e., find linear or nonlinear constraints on the performance vectors that all policies satisfy. We pres...
متن کاملA Mathematical Programming Approach to Stochastic and Dynamic Optimization Problems
We survey a new approach that the author and his co-workers have developed to formulate generic stochastic and dynamic optimization problems as mathematical programming problems. The approach has two components: (a) it produces bounds on the performance of an optimal policy, and (b) it develops techniques to construct optimal or near-optimal policies. The central idea for developing bounds is t...
متن کاملFuzzy Hierarchical Location-Allocation Models for Congested Systems
There exist various service systems that have hierarchical structure. In hierarchical service networks, facilities at different levels provide different types of services. For example, in health care systems, general centers provide low-level services such as primary health care services, while the specialized hospitals provide high-level services. Because of demand congestion in service networ...
متن کاملOptimization of Multiclass Queueing Networks with Changeover times via the Achievable Region Approach: Part I, the Single-station Case
We address the performance optimization problem in a single-station multiclass queueing network with changeover times by means of the achievable region approach. This approach seeks to obtain performance bounds and scheduling policies from the solution of a mathematical program over a relaxation of the system’s performance region. Relaxed formulations (including linear, convex, nonconvex and po...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Operations Research
دوره 36 شماره
صفحات -
تاریخ انتشار 1988