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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/18918
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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 |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.13397 |