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dc.contributor.authorGamarnik, David
dc.contributor.authorGoldberg, David A.
dc.date.accessioned2013-12-23T20:58:07Z
dc.date.available2013-12-23T20:58:07Z
dc.date.issued2013-12
dc.date.submitted2012-09
dc.identifier.issn1050-5164
dc.identifier.urihttp://hdl.handle.net/1721.1/83257
dc.description.abstractWe consider the FCFS GI/G/n queue in the so-called Halfin–Whitt heavy traffic regime. We prove that under minor technical conditions the associated sequence of steady-state queue length distributions, normalized by n[superscript 1/2], is tight. We derive an upper bound on the large deviation exponent of the limiting steady-state queue length matching that conjectured by Gamarnik and Momcilovic [Adv. in Appl. Probab. 40 (2008) 548–577]. We also prove a matching lower bound when the arrival process is Poisson. Our main proof technique is the derivation of new and simple bounds for the FCFS GI/G/n queue. Our bounds are of a structural nature, hold for all n and all times t ≥ 0, and have intuitive closed-form representations as the suprema of certain natural processes which converge weakly to Gaussian processes. We further illustrate the utility of this methodology by deriving the first nontrivial bounds for the weak limit process studied in [Ann. Appl. Probab. 19 (2009) 2211–2269].en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant CMMI-0726733)en_US
dc.language.isoen_US
dc.publisherInstitute of Mathematical Statisticsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1214/12-AAP905en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceInstitute of Mathematical Statisticsen_US
dc.titleSteady-state GI/G/n queue in the Halfin–Whitt regimeen_US
dc.typeArticleen_US
dc.identifier.citationGamarnik, David, and David A. Goldberg. “Steady-state $GI/G/n$ queue in the Halfin–Whitt regime.” The Annals of Applied Probability 23, no. 6 (December 2013): 2382-2419. © Institute of Mathematical Statisticsen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.mitauthorGamarnik, Daviden_US
dc.relation.journalThe Annals of Applied Probabilityen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsGamarnik, David; Goldberg, David A.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8898-8778
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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