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An Approximate Solution for Ph/Ph/1 and Ph/Ph/1/N Queues

机译:Ph / Ph / 1和Ph / Ph / 1 / N队列的近似解决方案

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摘要

We propose a simple approximation to assess the steady-state probabilities of the number of customers in Ph/Ph/1 and Ph/Ph/1/N queues, as well as probabilities found on arrival, including the probability of buffer overflow for the Ph/Ph/1/N queue. The phase-type distributions considered are assumed to be acyclic. Our method involves iteration between solutions of an M/Ph/1 queue with state-dependent arrival rate and a Ph/M/1 queue with state-dependent service rate. We solve these queues using simple and efficient recurrences. By iterating between these two simpler models our approximation divides the state space, and is thus able to easily handle phase-type distributions with large numbers of stages (which might cause problems for classical numerical solutions). The proposed method converges typically within a few tens of iterations, and is asymptotically exact for queues with unrestricted queueing room. Its overall accuracy is good: generally within a few percent of the exact values, except when both the inter-arrival and the service time distributions exhibit low variability. In the latter case, especially under moderate loads, the use of our method is not recommended.
机译:我们提出一个简单的近似值来评估Ph / Ph / 1和Ph / Ph / 1 / N队列中客户数量的稳态概率,以及到达时发现的概率,包括Ph缓冲区溢出的概率/ Ph / 1 / N队列。假定所考虑的相位类型分布是非周期性的。我们的方法涉及具有状态相关到达率的M / Ph / 1队列和具有状态相关服务率的Ph / M / 1队列的解决方案之间的迭代。我们使用简单而有效的循环来解决这些队列。通过在这两个较简单的模型之间进行迭代,我们的近似值可以划分状态空间,从而能够轻松处理具有多个阶段的相位类型分布(这可能会导致经典数值解出现问题)。所提出的方法通常在几十个迭代内收敛,并且对于具有不受限制的排队空间的队列,渐近精确。它的整体精度很好:通常在精确值的百分之几以内,除非到达间隔和服务时间分布均表现出较低的可变性。在后一种情况下,尤其是在中等负载下,不建议使用我们的方法。

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