Stability and instability of a two-station queueing network

• 成果类型: Article
• 署名作者: Dai, JG; Hasenbein, JJ; Vate, JHV
• 署名单位: University System of Georgia; Georgia Institute of Technology; University of Texas System; University of Texas Austin
• 刊物名称: ANNALS OF APPLIED PROBABILITY
• ISSN/ISSBN: 1050-5164
• 发表日期: 2004
• 页码: 326-377
• 关键词: fluid limits; CONVERGENCE; models

摘要

This article proves that the stability region of a two-station, five-class reentrant queueing network, operating under a nonpreemptive static buffer priority service policy, depends on the distributions of the interarrival and service times. In particular, our result shows that conditions on the mean interarrival and service times are not enough to determine the stability of a queueing network under a particular policy. We prove that when all distributions are exponential, the network is unstable in the sense that, with probability 1, the total number of jobs in the network goes to infinity with time. We show that the same network with all interarrival and service times being deterministic is stable. When all distributions are uniform with a given range, our simulation studies show that the stability of the network depends on the width of the uniform distribution. Finally, we show that the same network, with deterministic interarrival and service times, is unstable when it is operated under the preemptive version of the static buffer priority service policy. Thus, our examples also demonstrate that the stability region depends on the preemption mechanism used.