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

机译:具有抢先优先级和随机推送机制的重试排队系统

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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:分析了具有泊松到达流和指数服务时间分布的单服务器有限缓冲区重试系统。如果到达的客户发现缓冲区已满,则该客户加入特殊的重试等待组(轨道),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优先于重试的客户的优先权,因此,可以将原始系统视为优先系统,而重试客户的优先级较低。我们还引入了随机推出缓冲器管理机制,这使得可以有效地控制高优先级和低优先级客户的损失概率。结果表明,这种排队模型可以简化为相似的模型,而无需重试。使用生成函数技术,可以获得两种类型的客户的主要概率特征(例如,损失概率)。研究了损失概率对模型参数的依赖性,即推出概率和重试概率。找到负载参数的区域,以便为低优先级客户锁定系统,或者使损失概率与推出概率呈线性关系。

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