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Preemptive Priority Queuing System with Randomized Push-Out Mechanism and Negative Customers

机译:具有随机退出机制和负顾客的先占优先权排队系统

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A single-server priority queuing system with limited buffer size, Poisson arrivals, an exponentially distributed service time is considered. The primary customers take preemptive priority over secondary customers. We also consider a randomized push-out mechanism. It allows pushing secondary customers out of the system to free up space that could be taken by primary customers. Studied a new model where in addition to mentioned above two kinds of regular arriving customers, there are negative arrivals. A negative arrival has the effect of removing a customer from the buffer. The type of customer to be removed is determined in accordance with the following kill strategy. If at the moment of the occurrence of the next negative customer, both types of positive customers were presented in the system, then the primary customer is getting removed with a given probability. If there is only one type of customers in the system, then the customer of the existing type is deleted. Finally, if the system does not contain any positive customers at all, then a negative customer does not affect it. It is shown that such a queuing system can be investigated using the technique developed earlier by the authors for similar systems without negative customers. Using the method of generating functions, loss probabilities for both types of positive customers are obtained. The dependence of these loss probabilities on the basic parameters of the model (such as the probability of pushing out and the probability of crowding out a positive customer by a negative one) is investigated.
机译:考虑具有有限缓冲区大小(泊松到达)的单服务器优先级排队系统,并且服务时间呈指数分布。主要客户优先于次要客户。我们还考虑了随机推出机制。它允许将次要客户推出系统,以释放主要客户可能占用的空间。研究了一种新的模型,除了上述两种常规到达的客户之外,还存在负面的到达。负数到达的效果是将客户从缓冲区中删除。根据以下终止策略确定要删除的客户类型。如果在出现下一个负顾客的时刻,系统中同时出现了两种类型的正顾客,则主要顾客将以给定的概率被删除。如果系统中只有一种类型的客户,那么将删除现有类型的客户。最后,如果系统根本不包含任何正面客户,那么负面客户不会对其产生影响。结果表明,可以使用作者先前为没有负面客户的类似系统开发的技术来研究这种排队系统。使用生成函数的方法,可以获得两种类型的积极客户的损失概率。研究了这些损失概率对模型基本参数的依赖关系(例如,推出的可能性和否定的可能性将积极顾客挤出的可能性)。

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