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STEADY-STATE DISTRIBUTIONS OF PARALLEL QUEUES

机译:并行队列的稳态分布

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This paper is concerned with the steady-state probability distributions for a well-known parallel queue with two identical servers, each having its own queue. Upon the arrival time, the new arrival joins the shortest queue, and stays in that queue until being served. Jockeying between queues is not allowed. To make the problem solvable, the states of the resulting Markov chain are truncated into a banded array. Two steady- state distributions will be derived by using probability generating function and matrix- geometric method: the probability of queue length and the customer sojourn time. Under certain conditions, the sojourn time has a phase-type distribution. Numerical Results are presented and the convergence of the truncated model is discussed.
机译:本文关注的是一个众所周知的并行队列的稳态概率分布,该并行队列具有两个相同的服务器,每个服务器都有自己的队列。在到达时间后,新到达者加入最短队列,并一直停留在该队列中直到被送达。不允许在队列之间进行赛马。为了解决问题,将所得马尔可夫链的状态截断为带状数组。通过使用概率生成函数和矩阵几何方法,可以得出两个稳态分布:队列长度的概率和客户的停留时间。在某些条件下,停留时间具有相位类型的分布。给出了数值结果,并讨论了截断模型的收敛性。

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