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Maximum entropy solutions for batch arrival queue with an un-reliable server and delaying vacations

机译:具有不可靠服务器和延迟休假的批处理到达队列的最大熵解决方案

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We consider the M-[x]/G/1 queueing system with server vacations characterized by a special feature, reflecting real-life situations, in which the server, upon finding an empty system at the end of a vacation, activates a timer of duration T and waits dormant in the system. If a batch arrives during the dormant period, the server starts providing his service for the waiting customers, but if no arrivals occur, the server waits no more and takes another vacation. The server is subject to breakdowns according to a Poisson process and his repair time obeys an arbitrary distribution. We use maximum entropy principle to derive the approximate formulas for the steady-state probability distributions of the queue length. We perform a comparative analysis between the approximate results with established exact results for various vacation time, timer duration, service time and repair time distributions. We demonstrate that the maximum entropy approach is accurate enough for practical purpose and is a useful method for solving complex queueing systems. (c) 2006 Elsevier Inc. All rights reserved.
机译:我们考虑具有服务器休假的M- [x] / G / 1排队系统,该系统具有特殊功能,反映了现实情况,在这种情况下,服务器在休假结束时发现空系统后会激活计时器持续时间T并在系统中等待休眠。如果一批在休眠期间到达,则服务器开始为等待的客户提供服务,但是如果没有到达,则服务器不再等待并再次休假。该服务器会根据Poisson流程发生故障,并且维修时间服从任意分配。我们使用最大熵原理来推导队列长度的稳态概率分布的近似公式。我们对各种休假时间,计时器持续时间,服务时间和维修时间分布的近似结果与已确定的精确结果进行比较分析。我们证明了最大熵方法对于实际目的是足够准确的,并且是解决复杂排队系统的有用方法。 (c)2006 Elsevier Inc.保留所有权利。

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