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A Retrial Queueing System with Preemptive Priority and Randomized Push-Out Mechanism

机译:具有抢占优先级和随机推出机制的重试队列系统

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A single-server finite-buffer retrial system with a Poisson stream of arrivals and an exponential service time distribution is analyzed. If an arriving customer finds the buffer filled up, this customer joins a special retrial waiting group (orbit) in order to seek service again in an exponentially distributed period of time. The customers seeking service for the first time have the preemptive priority over retrial ones, thus, one can think of the original system as of the priority one with retrial customers being low-priority. We also introduce a randomized push-out buffer management mechanism, which makes it possible to control the loss probability of the high-priority and low-priority customers efficiently. It is shown that such queueing model can be reduced to a similar one but without retrial. Using the generating function technique, main probabilistic characteristics (e.g., loss probabilities) for both types of the customers are obtained. The dependency of the loss probabilities on the model parameters, i.e., the push-out and retrial probabilities, is investigated. Regions of the load parameters are found such that the system is locked for the low-priority customers, or such that there is a linear dependence of the loss probabilities on the push-out probability.
机译:分析了单服务器有限缓冲器再检测系统,具有泊松码散,和指数服务时间分布。如果到达客户发现缓冲区已填满,则此客户加入特殊的再审等待组(ORBit),以便在指数分布的时间段内再次寻求服务。首次寻求服务的客户具有重新检查的首先优先级,因此,可以将原始系统视为优先级的原始系统,重审客户是低优先级的。我们还介绍了一个随机推出缓冲区管理机制,可以有效地控制高优先级和低优先级客户的损耗概率。结果表明,这种排队模型可以减少到相似的模型,而不是重新调查。使用发电功能技术,获得两种客户的主要概率特征(例如,损耗概率)。研究了损耗概率对模型参数的依赖性,即推出和重新概率。找到负载参数的区域,使得系统被锁定为低优先级客户,或者在推出概率上存在损耗概率的线性依赖性。

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