Bandwidth sharing networks with multiscale traffic

Autores
Feuillet, Mathieu; Jonckheere, Matthieu Thimothy Samson; Prabhu, Balakrishna
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In multi-class communication networks, traffic surges due to one class of users can significantly degrade the performance for other classes. During these transient periods, it is thus of crucial importance to implement priority mechanisms that conserve the quality of service experienced by the affected classes, while ensuring that the temporarily unstable class is not entirely neglected. In this paper, we examine the complex interaction occurring between several classes of traffic when classes obtain bandwidth proportionally to their incoming traffic. We characterize the evolution of the performance measures of the network from the moment the initial surge takes place until the system reaches its equilibrium. Using a time-space-transition-scaling, we show that the trajectories of the temporarily unstable class can be described by a differential equation, while those of the stable classes retain their stochastic nature. In particular, we show that the temporarily unstable class evolves at a time-scale which is much slower than that of the stable classes. Although the time-scales decouple, the dynamics of the temporarily unstable and the stable classes continue to influence one another. We further proceed to characterize the obtained differential equations for several simple network examples. In particular, the macroscopic asymptotic behavior of the unstable class allows us to gain important qualitative insights on how the bandwidth allocation affects performance. We illustrate these results on several toy examples and we finally build a penalization rule using these results for a network integrating streaming and surging elastic traffic.
Fil: Feuillet, Mathieu. Institut National de Recherche en Informatique et en Automatique; Francia
Fil: Jonckheere, Matthieu Thimothy Samson. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Prabhu, Balakrishna. Centre National de la Recherche Scientifique; Francia
Materia
Stochastic networks
Multiscale traffic
Fluid limits
Bandwidth sharing networks
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/18918

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network_name_str CONICET Digital (CONICET)
spelling Bandwidth sharing networks with multiscale trafficFeuillet, MathieuJonckheere, Matthieu Thimothy SamsonPrabhu, BalakrishnaStochastic networksMultiscale trafficFluid limitsBandwidth sharing networkshttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1In multi-class communication networks, traffic surges due to one class of users can significantly degrade the performance for other classes. During these transient periods, it is thus of crucial importance to implement priority mechanisms that conserve the quality of service experienced by the affected classes, while ensuring that the temporarily unstable class is not entirely neglected. In this paper, we examine the complex interaction occurring between several classes of traffic when classes obtain bandwidth proportionally to their incoming traffic. We characterize the evolution of the performance measures of the network from the moment the initial surge takes place until the system reaches its equilibrium. Using a time-space-transition-scaling, we show that the trajectories of the temporarily unstable class can be described by a differential equation, while those of the stable classes retain their stochastic nature. In particular, we show that the temporarily unstable class evolves at a time-scale which is much slower than that of the stable classes. Although the time-scales decouple, the dynamics of the temporarily unstable and the stable classes continue to influence one another. We further proceed to characterize the obtained differential equations for several simple network examples. In particular, the macroscopic asymptotic behavior of the unstable class allows us to gain important qualitative insights on how the bandwidth allocation affects performance. We illustrate these results on several toy examples and we finally build a penalization rule using these results for a network integrating streaming and surging elastic traffic.Fil: Feuillet, Mathieu. Institut National de Recherche en Informatique et en Automatique; FranciaFil: Jonckheere, Matthieu Thimothy Samson. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Prabhu, Balakrishna. Centre National de la Recherche Scientifique; FranciaINFORMS Applied Probability Society2014-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/18918Feuillet, Mathieu; Jonckheere, Matthieu Thimothy Samson; Prabhu, Balakrishna; Bandwidth sharing networks with multiscale traffic; INFORMS Applied Probability Society; Stochastic Systems; 4; 5-2014; 1-301946-5238CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.i-journals.org/ssy/viewarticle.php?id=53&layout=abstractinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:47:57Zoai:ri.conicet.gov.ar:11336/18918instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:47:57.356CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Bandwidth sharing networks with multiscale traffic
title Bandwidth sharing networks with multiscale traffic
spellingShingle Bandwidth sharing networks with multiscale traffic
Feuillet, Mathieu
Stochastic networks
Multiscale traffic
Fluid limits
Bandwidth sharing networks
title_short Bandwidth sharing networks with multiscale traffic
title_full Bandwidth sharing networks with multiscale traffic
title_fullStr Bandwidth sharing networks with multiscale traffic
title_full_unstemmed Bandwidth sharing networks with multiscale traffic
title_sort Bandwidth sharing networks with multiscale traffic
dc.creator.none.fl_str_mv Feuillet, Mathieu
Jonckheere, Matthieu Thimothy Samson
Prabhu, Balakrishna
author Feuillet, Mathieu
author_facet Feuillet, Mathieu
Jonckheere, Matthieu Thimothy Samson
Prabhu, Balakrishna
author_role author
author2 Jonckheere, Matthieu Thimothy Samson
Prabhu, Balakrishna
author2_role author
author
dc.subject.none.fl_str_mv Stochastic networks
Multiscale traffic
Fluid limits
Bandwidth sharing networks
topic Stochastic networks
Multiscale traffic
Fluid limits
Bandwidth sharing networks
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In multi-class communication networks, traffic surges due to one class of users can significantly degrade the performance for other classes. During these transient periods, it is thus of crucial importance to implement priority mechanisms that conserve the quality of service experienced by the affected classes, while ensuring that the temporarily unstable class is not entirely neglected. In this paper, we examine the complex interaction occurring between several classes of traffic when classes obtain bandwidth proportionally to their incoming traffic. We characterize the evolution of the performance measures of the network from the moment the initial surge takes place until the system reaches its equilibrium. Using a time-space-transition-scaling, we show that the trajectories of the temporarily unstable class can be described by a differential equation, while those of the stable classes retain their stochastic nature. In particular, we show that the temporarily unstable class evolves at a time-scale which is much slower than that of the stable classes. Although the time-scales decouple, the dynamics of the temporarily unstable and the stable classes continue to influence one another. We further proceed to characterize the obtained differential equations for several simple network examples. In particular, the macroscopic asymptotic behavior of the unstable class allows us to gain important qualitative insights on how the bandwidth allocation affects performance. We illustrate these results on several toy examples and we finally build a penalization rule using these results for a network integrating streaming and surging elastic traffic.
Fil: Feuillet, Mathieu. Institut National de Recherche en Informatique et en Automatique; Francia
Fil: Jonckheere, Matthieu Thimothy Samson. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Prabhu, Balakrishna. Centre National de la Recherche Scientifique; Francia
description In multi-class communication networks, traffic surges due to one class of users can significantly degrade the performance for other classes. During these transient periods, it is thus of crucial importance to implement priority mechanisms that conserve the quality of service experienced by the affected classes, while ensuring that the temporarily unstable class is not entirely neglected. In this paper, we examine the complex interaction occurring between several classes of traffic when classes obtain bandwidth proportionally to their incoming traffic. We characterize the evolution of the performance measures of the network from the moment the initial surge takes place until the system reaches its equilibrium. Using a time-space-transition-scaling, we show that the trajectories of the temporarily unstable class can be described by a differential equation, while those of the stable classes retain their stochastic nature. In particular, we show that the temporarily unstable class evolves at a time-scale which is much slower than that of the stable classes. Although the time-scales decouple, the dynamics of the temporarily unstable and the stable classes continue to influence one another. We further proceed to characterize the obtained differential equations for several simple network examples. In particular, the macroscopic asymptotic behavior of the unstable class allows us to gain important qualitative insights on how the bandwidth allocation affects performance. We illustrate these results on several toy examples and we finally build a penalization rule using these results for a network integrating streaming and surging elastic traffic.
publishDate 2014
dc.date.none.fl_str_mv 2014-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/18918
Feuillet, Mathieu; Jonckheere, Matthieu Thimothy Samson; Prabhu, Balakrishna; Bandwidth sharing networks with multiscale traffic; INFORMS Applied Probability Society; Stochastic Systems; 4; 5-2014; 1-30
1946-5238
CONICET Digital
CONICET
url http://hdl.handle.net/11336/18918
identifier_str_mv Feuillet, Mathieu; Jonckheere, Matthieu Thimothy Samson; Prabhu, Balakrishna; Bandwidth sharing networks with multiscale traffic; INFORMS Applied Probability Society; Stochastic Systems; 4; 5-2014; 1-30
1946-5238
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.i-journals.org/ssy/viewarticle.php?id=53&layout=abstract
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv INFORMS Applied Probability Society
publisher.none.fl_str_mv INFORMS Applied Probability Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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