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Ecole d'été de probabilités de Saint-Flour XXXVI

Queueing networks constitute a large family of stochastic models, involving jobs that enter a network, compete for service, and eventually leave the network upon completion of service. Since the early 1990s, substantial attention has been devoted to the question of when such networks are stable. Thi...

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Detalles Bibliográficos
Autor principal: Bramson, Maury
Lenguaje:eng
Publicado: Springer 2008
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-540-68896-9
http://cds.cern.ch/record/1695947
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author Bramson, Maury
author_facet Bramson, Maury
author_sort Bramson, Maury
collection CERN
description Queueing networks constitute a large family of stochastic models, involving jobs that enter a network, compete for service, and eventually leave the network upon completion of service. Since the early 1990s, substantial attention has been devoted to the question of when such networks are stable. This volume presents a summary of such work. Emphasis is placed on the use of fluid models in showing stability, and on examples of queueing networks that are unstable even when the arrival rate is less than the service rate. The material of this volume is based on a series of nine lectures given at the Saint-Flour Probability Summer School 2006. Lectures were also given by Alice Guionnet and Steffen Lauritzen.
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institution Organización Europea para la Investigación Nuclear
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spelling cern-16959472021-04-25T16:39:18Zdoi:10.1007/978-3-540-68896-9http://cds.cern.ch/record/1695947engBramson, MauryEcole d'été de probabilités de Saint-Flour XXXVIMathematical Physics and MathematicsQueueing networks constitute a large family of stochastic models, involving jobs that enter a network, compete for service, and eventually leave the network upon completion of service. Since the early 1990s, substantial attention has been devoted to the question of when such networks are stable. This volume presents a summary of such work. Emphasis is placed on the use of fluid models in showing stability, and on examples of queueing networks that are unstable even when the arrival rate is less than the service rate. The material of this volume is based on a series of nine lectures given at the Saint-Flour Probability Summer School 2006. Lectures were also given by Alice Guionnet and Steffen Lauritzen.Springeroai:cds.cern.ch:16959472008
spellingShingle Mathematical Physics and Mathematics
Bramson, Maury
Ecole d'été de probabilités de Saint-Flour XXXVI
title Ecole d'été de probabilités de Saint-Flour XXXVI
title_full Ecole d'été de probabilités de Saint-Flour XXXVI
title_fullStr Ecole d'été de probabilités de Saint-Flour XXXVI
title_full_unstemmed Ecole d'été de probabilités de Saint-Flour XXXVI
title_short Ecole d'été de probabilités de Saint-Flour XXXVI
title_sort ecole d'été de probabilités de saint-flour xxxvi
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-540-68896-9
http://cds.cern.ch/record/1695947
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