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    Simple and explicit bounds for multi-server queues with 1/(1βˆ’Ο)1/(1 - \rho) (and sometimes better) scaling

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    We consider the FCFS GI/GI/nGI/GI/n queue, and prove the first simple and explicit bounds that scale as 11βˆ’Ο\frac{1}{1-\rho} (and sometimes better). Here ρ\rho denotes the corresponding traffic intensity. Conceptually, our results can be viewed as a multi-server analogue of Kingman's bound. Our main results are bounds for the tail of the steady-state queue length and the steady-state probability of delay. The strength of our bounds (e.g. in the form of tail decay rate) is a function of how many moments of the inter-arrival and service distributions are assumed finite. More formally, suppose that the inter-arrival and service times (distributed as random variables AA and SS respectively) have finite rrth moment for some r>2.r > 2. Let ΞΌA\mu_A (respectively ΞΌS\mu_S) denote 1E[A]\frac{1}{\mathbb{E}[A]} (respectively 1E[S]\frac{1}{\mathbb{E}[S]}). Then our bounds (also for higher moments) are simple and explicit functions of E[(AΞΌA)r],E[(SΞΌS)r],r\mathbb{E}\big[(A \mu_A)^r\big], \mathbb{E}\big[(S \mu_S)^r\big], r, and 11βˆ’Ο\frac{1}{1-\rho} only. Our bounds scale gracefully even when the number of servers grows large and the traffic intensity converges to unity simultaneously, as in the Halfin-Whitt scaling regime. Some of our bounds scale better than 11βˆ’Ο\frac{1}{1-\rho} in certain asymptotic regimes. More precisely, they scale as 11βˆ’Ο\frac{1}{1-\rho} multiplied by an inverse polynomial in n(1βˆ’Ο)2.n(1 - \rho)^2. These results formalize the intuition that bounds should be tighter in light traffic as well as certain heavy-traffic regimes (e.g. with ρ\rho fixed and nn large). In these same asymptotic regimes we also prove bounds for the tail of the steady-state number in service. Our main proofs proceed by explicitly analyzing the bounding process which arises in the stochastic comparison bounds of amarnik and Goldberg for multi-server queues. Along the way we derive several novel results for suprema of random walks and pooled renewal processes which may be of independent interest. We also prove several additional bounds using drift arguments (which have much smaller pre-factors), and make several conjectures which would imply further related bounds and generalizations

    Algorithms and appoximations for queueing systems

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