We consider optimal control of a multi-class queue in the Halfin--Whitt
regime, and revisit the notion of asymptotic optimality and the associated
optimality gaps. The existing results in the literature for such systems
provide asymptotically optimal controls with optimality gaps of o(n​)
where n is the system size, for example, the number of servers. We construct
a sequence of asymptotically optimal controls where the optimality gap grows
logarithmically with the system size. Our analysis relies on a sequence of
Brownian control problems, whose refined structure helps us achieve the
improved optimality gaps.Comment: Published in at http://dx.doi.org/10.1214/11-AAP777 the Annals of
Applied Probability (http://www.imstat.org/aap/) by the Institute of
Mathematical Statistics (http://www.imstat.org