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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 

Authors  
Keywords  Statistics Stochastic processes Network measurements 
Issue Date  2005 
Citation  Lecture Notes in Computer Science, 2005, v. 3462, p. 316327 How to Cite? 
Abstract  Estimating the reliability of an endtoend network path is critically important for applications that support remote realtime 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 timeseries analysis prospective. In particular, we introduce a notion of crossing probabilitythe probability that available bandwidth drops below the QoS critical threshold for the period of time required for a realtime 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 realtime 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  2005 Impact Factor: 0.402 2015 SCImago Journal Rankings: 0.252 
DC Field  Value  Language 

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  20150728T04:05:08Z   
dc.date.available  20150728T04:05:08Z   
dc.date.issued  2005   
dc.identifier.citation  Lecture Notes in Computer Science, 2005, v. 3462, p. 316327   
dc.identifier.issn  03029743   
dc.identifier.uri  http://hdl.handle.net/10722/212825   
dc.description.abstract  Estimating the reliability of an endtoend network path is critically important for applications that support remote realtime 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 timeseries analysis prospective. In particular, we introduce a notion of crossing probabilitythe probability that available bandwidth drops below the QoS critical threshold for the period of time required for a realtime 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 realtime 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_2s2.024944467404   
dc.identifier.volume  3462   
dc.identifier.spage  316   
dc.identifier.epage  327   