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Conference Paper: Modeling available bandwidth for an efficient QoS characterization of a network path

TitleModeling available bandwidth for an efficient QoS characterization of a network path
Authors
KeywordsStatistics
Stochastic processes
Network measurements
Issue Date2005
Citation
Lecture Notes in Computer Science, 2005, v. 3462, p. 316-327 How to Cite?
AbstractEstimating the reliability of an end-to-end network path is critically important for applications that support remote real-time task execution. Available bandwidth, which is defined as a minimum spare capacity of links constituting a network path, is an important QoS characteristic of the path. In this work we demonstrate a new approach to modelling available bandwidth behavior from a time-series analysis prospective. In particular, we introduce a notion of crossing probability-the probability that available bandwidth drops below the QoS critical threshold for the period of time required for a real-time task execution. We estimate "crossing probability" by an application of the ARCH 2 (AutoRegressive Conditional Heteroscedasticity) model to available bandwidth behavior. We estimate model coefficients β 0 and β 1to quickly output "crossing probability" for arbitrary values of threshold and length of the real-time task. The model was evaluated on real bandwidth measurements across multiple network paths. © IFIP International Federation for Information Processing 2005.
Persistent Identifierhttp://hdl.handle.net/10722/212825
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252

 

DC FieldValueLanguage
dc.contributor.authorChobanyan, Alexander-
dc.contributor.authorMutka, Matt W.-
dc.contributor.authorMandrekar, V. S.-
dc.contributor.authorXi, Ning-
dc.date.accessioned2015-07-28T04:05:08Z-
dc.date.available2015-07-28T04:05:08Z-
dc.date.issued2005-
dc.identifier.citationLecture Notes in Computer Science, 2005, v. 3462, p. 316-327-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/212825-
dc.description.abstractEstimating the reliability of an end-to-end network path is critically important for applications that support remote real-time task execution. Available bandwidth, which is defined as a minimum spare capacity of links constituting a network path, is an important QoS characteristic of the path. In this work we demonstrate a new approach to modelling available bandwidth behavior from a time-series analysis prospective. In particular, we introduce a notion of crossing probability-the probability that available bandwidth drops below the QoS critical threshold for the period of time required for a real-time task execution. We estimate "crossing probability" by an application of the ARCH 2 (AutoRegressive Conditional Heteroscedasticity) model to available bandwidth behavior. We estimate model coefficients β 0 and β 1to quickly output "crossing probability" for arbitrary values of threshold and length of the real-time task. The model was evaluated on real bandwidth measurements across multiple network paths. © IFIP International Federation for Information Processing 2005.-
dc.languageeng-
dc.relation.ispartofLecture Notes in Computer Science-
dc.subjectStatistics-
dc.subjectStochastic processes-
dc.subjectNetwork measurements-
dc.titleModeling available bandwidth for an efficient QoS characterization of a network path-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-24944467404-
dc.identifier.volume3462-
dc.identifier.spage316-
dc.identifier.epage327-

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