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Performance analysis of a discrete-time queueing system with customer deadlines

机译:客户截止日期的离散时间排队系统的性能分析

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This paper studies a discrete-time queueing system where each customer has a maximum allowed sojourn time in the system, referred to as the "deadline" of the customer. Deadlines of consecutive customers are modelled as independent and geometrically distributed random variables. The arrival process of new customers, furthermore, is assumed to be general and independent, while service times of the customers are deterministically equal to one slot each. For this queueing model, we are able to obtain exact formulas for quantities as the mean system content, the mean customer delay, and the deadline-expiration ratio. These formulas, however, contain infinite sums and infinite products, which implies that truncations are required to actually compute numerical values. Therefore, we also derive some easy-to-evaluate approximate results for the main performance measures. These approximate results are quite accurate, as we show in some numerical examples. Possible applications of this type of queueing model are numerous: the (variable) deadlines could model, for instance, the fact that customers may become impatient and leave the queue unserved if they have to wait too long in line, but they could also reflect the fact that the service of a customer is not useful anymore if it cannot be delivered soon enough, etc.
机译:本文研究了一个离散时间排队系统,其中每个客户在系统中最大限度地拥有允许的Sojourn时间,称为客户的“截止日期”。连续客户的截止日期被建模为独立和几何分布式随机变量。此外,新客户的到货过程,假设是一般和独立的,而客户的服务时间是确定的,每个服务时间都等于一个插槽。对于该排队模型,我们能够获得数量的确切公式,作为平均系统内容,平均客户延迟和截止日期到期比。然而,这些公式包含无限的总和和无限产品,这意味着需要截断来实际计算数值。因此,我们还逐渐评估了主要性能措施的易评估结果。正如我们在某些数字示例中所展示的那样,这些近似结果非常准确。这种类型的排队模型的可能应用很多:(变量)截止日期可能会模型,例如,客户可能变得不耐烦,并且如果他们必须等待太久,但他们也可能反映了队列事实上,如果不能很快交付,客户的服务就无法使用,但是

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