{ "id": "math/0608258", "version": "v3", "published": "2006-08-10T12:53:14.000Z", "updated": "2009-01-16T06:57:35.000Z", "title": "A functional central limit theorem for the M/GI/$\\infty$ queue", "authors": [ "Laurent Decreusefond", "Pascal Moyal" ], "comment": "Published in at http://dx.doi.org/10.1214/08-AAP518 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)", "journal": "Annals of Applied Probability 2008, Vol. 18, No. 6, 2156-2178", "doi": "10.1214/08-AAP518", "categories": [ "math.PR" ], "abstract": "In this paper, we present a functional fluid limit theorem and a functional central limit theorem for a queue with an infinity of servers M/GI/$\\infty$. The system is represented by a point-measure valued process keeping track of the remaining processing times of the customers in service. The convergence in law of a sequence of such processes after rescaling is proved by compactness-uniqueness methods, and the deterministic fluid limit is the solution of an integrated equation in the space $\\mathcal{S}^{\\prime}$ of tempered distributions. We then establish the corresponding central limit theorem, that is, the approximation of the normalized error process by a $\\mathcal{S}^{\\prime}$-valued diffusion. We apply these results to provide fluid limits and diffusion approximations for some performance processes.", "revisions": [ { "version": "v3", "updated": "2009-01-16T06:57:35.000Z" } ], "analyses": { "subjects": [ "60F17", "60K25", "60B12" ], "keywords": [ "functional central limit theorem", "functional fluid limit theorem", "point-measure valued process keeping track", "deterministic fluid limit", "corresponding central limit theorem" ], "tags": [ "journal article" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2006math......8258D" } } }