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arXiv · 1701.01328

An Infinite Dimensional Model for a Many Server Priority Queue

Neal Master·Zhengyuan Zhou·Nicholas Bambos
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Abstract

We consider a Markovian many server queueing system in which customers are preemptively scheduled according to exogenously assigned priority levels. The priority levels are randomly assigned from a continuous probability measure rather than a discrete one and hence, the queue is modeled by an infinite dimensional stochastic process. We analyze the equilibrium behavior of the system and provide several results. We derive the Radon-Nikodym derivative (with respect to Lebesgue measure) of the measure that describes the average distribution of customer priority levels in the system; we provide a formula for the expected sojourn time of a customer as a function of his priority level; and we provide a formula for the expected waiting time of a customer as a function of his priority level. We verify our theoretical analysis with discrete-event simulations. We discuss how each of our results generalizes previous work on infinite dimensional models for single server priority queues.

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Neal Master, Zhengyuan Zhou, Nicholas Bambos. 2016-12-07. An Infinite Dimensional Model for a Many Server Priority Queue. https://arxiv.org/abs/1701.01328

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