A semi-product-form for the equilibrium state probabilities in a pair of queues with finite batches

P. Harrison
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引用次数: 1

Abstract

A Markovian network of two queues, with finite size batch Poisson arrivals and departures, is solved approximately, but to arbitrary accuracy, for its equilibrium state probabilities. Below a pair of thresholds on the queue lengths, a modification of the Spectral Expansion Method is used to construct a semi-product-form at all lengths of one queue in a finite lattice strip defined by the threshold of the other queue. No additional special arrival streams are required, for example at empty queues, from which it is already known that a product-form can be constructed. Hence the first exact closed form solution for the equilibrium probabilities in an unmodified Markovian queueing network with batches is obtained, the only constraint being finiteness of the batches. The method is illustrated numerically, first in a tandem network and then in a two-node network with feedback. Simulation results confirm convincingly the precision of the method. Partial batch forwarding and discarding are thereby compared quantitatively.
有限批对队列均衡状态概率的半积形式
对于两个队列的马尔可夫网络,具有有限大小的泊松到达和离开,对其平衡状态概率进行了近似求解,但精度是任意的。在对队列长度的一对阈值下,使用谱展开法的一种改进,在由另一个队列的阈值定义的有限晶格条上,在一个队列的所有长度处构造一个半积形式。不需要额外的特殊到达流,例如在空队列中,我们已经知道可以从中构造产品表单。由此得到了具有批的未修改马尔可夫排队网络平衡概率的第一个精确闭形式解,其唯一约束是批的有限性。首先在串联网络中,然后在带反馈的双节点网络中对该方法进行了数值说明。仿真结果令人信服地证实了该方法的精度。从而定量地比较了部分批量转发和丢弃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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