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
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

34
checked on Oct 21, 2020

WEB OF SCIENCETM
Citations

33
checked on Oct 21, 2020

Page view(s)

110
checked on Oct 6, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.