Statistical Analysis of ATM Call Detail Records

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dc.contributor.authorHager, Creighton Tsuan-Renen
dc.contributor.committeechairMidkiff, Scott F.en
dc.contributor.committeememberGaylord, Clark K.en
dc.contributor.committeememberDavis, Nathaniel J. IVen
dc.contributor.committeememberDaSilva, Luiz A.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T20:30:37Zen
dc.date.adate2000-02-11en
dc.date.available2014-03-14T20:30:37Zen
dc.date.issued1999-12-16en
dc.date.rdate2001-02-11en
dc.date.sdate2000-01-14en
dc.description.abstractNetwork management is a problem that faces designers and operators of any type of network. Conventional methods of capacity planning or configuration management are difficult to apply directly to networks that dynamically allocate resources, such as Asynchronous Transfer Mode (ATM) networks and emerging Internet Protocol (IP) networks employing Differentiated Services (DiffServ). This work shows a method to generically classify traffic in an ATM network such that capacity planning may be possible. These methods are generally applicable to other networks that support dynamically allocated resources. In this research, Call Detail Records (CDRs) captured from a ¡§live¡¨ ATM network were successfully classified into three traffic categories. The traffic categories correspond to three different video speeds (1152 kbps, 768 kbps, and 384 kbps) in the network. Further statistical analysis was used to characterize these traffic categories and found them to fit deterministic distributions. The statistical analysis methods were also applied to several different network planning and management functions. Three specific potential applications related to network management were examined: capacity planning, traffic modeling, and configuration management.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-01142000-14500030en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-01142000-14500030/en
dc.identifier.urihttp://hdl.handle.net/10919/30937en
dc.publisherVirginia Techen
dc.relation.haspartchager.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectQuality of Serviceen
dc.subjectCluster Analysisen
dc.subjectService Level Agreementsen
dc.subjectATMen
dc.titleStatistical Analysis of ATM Call Detail Recordsen
dc.typeThesisen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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