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Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0307-904X(02)00087-2
DC FieldValue
dc.titleModeling autocorrelation functions of self-similar teletraffic in communication networks based on optimal approximation in Hilbert space
dc.contributor.authorLi, M.
dc.contributor.authorZhao, W.
dc.contributor.authorJia, W.
dc.contributor.authorLong, D.
dc.contributor.authorChi, C.-H.
dc.date.accessioned2013-07-04T07:38:16Z
dc.date.available2013-07-04T07:38:16Z
dc.date.issued2003
dc.identifier.citationLi, M., Zhao, W., Jia, W., Long, D., Chi, C.-H. (2003). Modeling autocorrelation functions of self-similar teletraffic in communication networks based on optimal approximation in Hilbert space. Applied Mathematical Modelling 27 (3) : 155-168. ScholarBank@NUS Repository. https://doi.org/10.1016/S0307-904X(02)00087-2
dc.identifier.issn0307904X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39289
dc.description.abstractThe approach to model autocorrelation functions of real-traffic traces in communication networks is presented based on optimal approximation in Hilbert space. The verifications are carried out with the real-traffic traces. © 2002 Elsevier Science Inc. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0307-904X(02)00087-2
dc.sourceScopus
dc.subjectAutocorrelation functions
dc.subjectLong-range dependence
dc.subjectOptimal approximation
dc.subjectTeletraffic modeling
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1016/S0307-904X(02)00087-2
dc.description.sourcetitleApplied Mathematical Modelling
dc.description.volume27
dc.description.issue3
dc.description.page155-168
dc.description.codenAMMOD
dc.identifier.isiut000181153000001
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