
We consider queueing systems with n parallel queues under a Join the Shortest Queue (JSQ) policy in the Halfin-Whitt heavy-traffic regime. We use the martingale method to prove that a scaled process counting the number of idle servers and queues of length exactly two weakly converges to a two-dimensional reflected Ornstein-Uhlenbeck process, while processes counting longer queues converge to a deterministic system decaying to zero in constant time. This limiting system is comparable to that of the traditional Halfin-Whitt model, but there are key differences in the queueing behavior of the JSQ model. In particular, only a vanishing fraction of customers will have to wait, but those who do incur a constant order waiting time.
diffusion models, parallel queues, Probability (math.PR), FOS: Mathematics, Queues and service in operations research, queueing theory, Queueing theory (aspects of probability theory), Mathematics - Probability
diffusion models, parallel queues, Probability (math.PR), FOS: Mathematics, Queues and service in operations research, queueing theory, Queueing theory (aspects of probability theory), Mathematics - Probability
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