Analysis of individual flows performance for delay sensitive applications

Autores
Nabhen, Ricardo; Jamhour, Edgard; Penna, Manoel C.; Fonseca, Mauro
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
SLA management approaches typically adopt provisioning strategies based on aggregate traffic in order to support endtoend delay requirements of applications. They do not take into account individual flows needs in terms of delay. However, this delay can be very higher than the one observed by aggregate traffic, causing an important impact in network application performance. This paper presents a study based on simulations that makes an analysis of the endtoend delay observed by individual flows. Several scenarios are used to evaluate this performance and some metrics are proposed to investigate empirical relations that show the endtoend delay behavior when are analyzed individual flows, the aggregate traffic and the network load.
5th IFIP International Conference on Network Control & Engineering for QoS, Security and Mobility
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Simulation
Data-flow architectures
end-to-end delay
individual flows
Service Level Agreements (SLA)
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/24128
Acceder
id SEDICI_f0cbc3a1bf093982da77a9613e55023a
oai_identifier_str oai:sedici.unlp.edu.ar:10915/24128
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Analysis of individual flows performance for delay sensitive applicationsNabhen, RicardoJamhour, EdgardPenna, Manoel C.Fonseca, MauroCiencias InformáticasSimulationData-flow architecturesend-to-end delayindividual flowsService Level Agreements (SLA)SLA management approaches typically adopt provisioning strategies based on aggregate traffic in order to support endtoend delay requirements of applications. They do not take into account individual flows needs in terms of delay. However, this delay can be very higher than the one observed by aggregate traffic, causing an important impact in network application performance. This paper presents a study based on simulations that makes an analysis of the endtoend delay observed by individual flows. Several scenarios are used to evaluate this performance and some metrics are proposed to investigate empirical relations that show the endtoend delay behavior when are analyzed individual flows, the aggregate traffic and the network load.5th IFIP International Conference on Network Control & Engineering for QoS, Security and MobilityRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24128enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34825-5info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:45Zoai:sedici.unlp.edu.ar:10915/24128Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:45.395SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Analysis of individual flows performance for delay sensitive applications
title Analysis of individual flows performance for delay sensitive applications
spellingShingle Analysis of individual flows performance for delay sensitive applications
Nabhen, Ricardo
Ciencias Informáticas
Simulation
Data-flow architectures
end-to-end delay
individual flows
Service Level Agreements (SLA)
title_short Analysis of individual flows performance for delay sensitive applications
title_full Analysis of individual flows performance for delay sensitive applications
title_fullStr Analysis of individual flows performance for delay sensitive applications
title_full_unstemmed Analysis of individual flows performance for delay sensitive applications
title_sort Analysis of individual flows performance for delay sensitive applications
dc.creator.none.fl_str_mv Nabhen, Ricardo
Jamhour, Edgard
Penna, Manoel C.
Fonseca, Mauro
author Nabhen, Ricardo
author_facet Nabhen, Ricardo
Jamhour, Edgard
Penna, Manoel C.
Fonseca, Mauro
author_role author
author2 Jamhour, Edgard
Penna, Manoel C.
Fonseca, Mauro
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Simulation
Data-flow architectures
end-to-end delay
individual flows
Service Level Agreements (SLA)
topic Ciencias Informáticas
Simulation
Data-flow architectures
end-to-end delay
individual flows
Service Level Agreements (SLA)
dc.description.none.fl_txt_mv SLA management approaches typically adopt provisioning strategies based on aggregate traffic in order to support endtoend delay requirements of applications. They do not take into account individual flows needs in terms of delay. However, this delay can be very higher than the one observed by aggregate traffic, causing an important impact in network application performance. This paper presents a study based on simulations that makes an analysis of the endtoend delay observed by individual flows. Several scenarios are used to evaluate this performance and some metrics are proposed to investigate empirical relations that show the endtoend delay behavior when are analyzed individual flows, the aggregate traffic and the network load.
5th IFIP International Conference on Network Control & Engineering for QoS, Security and Mobility
Red de Universidades con Carreras en Informática (RedUNCI)
description SLA management approaches typically adopt provisioning strategies based on aggregate traffic in order to support endtoend delay requirements of applications. They do not take into account individual flows needs in terms of delay. However, this delay can be very higher than the one observed by aggregate traffic, causing an important impact in network application performance. This paper presents a study based on simulations that makes an analysis of the endtoend delay observed by individual flows. Several scenarios are used to evaluate this performance and some metrics are proposed to investigate empirical relations that show the endtoend delay behavior when are analyzed individual flows, the aggregate traffic and the network load.
publishDate 2006
dc.date.none.fl_str_mv 2006-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/24128
url http://sedici.unlp.edu.ar/handle/10915/24128
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/0-387-34825-5
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844615816738242560
score 13.070432

Publicaciones similares