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Conference Paper: Modeling available bandwidth for an efficient QoS characterization of a network path
Title | Modeling available bandwidth for an efficient QoS characterization of a network path |
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Authors | |
Keywords | Statistics Stochastic processes Network measurements |
Issue Date | 2005 |
Citation | Lecture Notes in Computer Science, 2005, v. 3462, p. 316-327 How to Cite? |
Abstract | Estimating 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 Identifier | http://hdl.handle.net/10722/212825 |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
DC Field | Value | Language |
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dc.contributor.author | Chobanyan, Alexander | - |
dc.contributor.author | Mutka, Matt W. | - |
dc.contributor.author | Mandrekar, V. S. | - |
dc.contributor.author | Xi, Ning | - |
dc.date.accessioned | 2015-07-28T04:05:08Z | - |
dc.date.available | 2015-07-28T04:05:08Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | Lecture Notes in Computer Science, 2005, v. 3462, p. 316-327 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10722/212825 | - |
dc.description.abstract | Estimating 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.language | eng | - |
dc.relation.ispartof | Lecture Notes in Computer Science | - |
dc.subject | Statistics | - |
dc.subject | Stochastic processes | - |
dc.subject | Network measurements | - |
dc.title | Modeling available bandwidth for an efficient QoS characterization of a network path | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-24944467404 | - |
dc.identifier.volume | 3462 | - |
dc.identifier.spage | 316 | - |
dc.identifier.epage | 327 | - |
dc.identifier.issnl | 0302-9743 | - |