Closed queueing networks under congestion: Nonbottleneck independence and bottleneck convergence
We analyze the behavior of closed multiclass product-form queueing networks when the number of customers grows to infinity and remains proportionate on each route (or class). First, we focus on the stationary behavior and prove the conjecture that the stationary distribution at nonbottleneck queues...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2013 |
| País: | España |
| Institución: | Basque Center for Applied Mathematics (BCAM) |
| Repositorio: | BIRD. BCAM's Institutional Repository Data |
| OAI Identifier: | oai:bird.bcamath.org:20.500.11824/394 |
| Acceso en línea: | http://hdl.handle.net/20.500.11824/394 |
| Access Level: | acceso abierto |
| Palabra clave: | Asymptotic independence Closed multiclass queueing networks Fluid limit Large population Product-form |
| Sumario: | We analyze the behavior of closed multiclass product-form queueing networks when the number of customers grows to infinity and remains proportionate on each route (or class). First, we focus on the stationary behavior and prove the conjecture that the stationary distribution at nonbottleneck queues converges weakly to the stationary distribution of an ergodic, open product-form queueing network, which is geometric. This open network is obtained by replacing bottleneck queues with per-route Poissonian sources whose rates are uniquely determined by the solution of a strictly concave optimization problem. We strengthen such results by also proving convergence of the first moment of the queue lengths of nonbottleneck stations. Then we focus on the transient behavior of the network and use fluid limits to prove that the amount of fluid, or customers, on each route eventually concentrates on the bottleneck queues only and that the long-term proportions of fluid in each route and in each queue solve the dual of the concave optimization problem that determines the throughputs of the previous open network. |
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