Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0307-904X(02)00087-2
Title: Modeling autocorrelation functions of self-similar teletraffic in communication networks based on optimal approximation in Hilbert space
Authors: Li, M. 
Zhao, W.
Jia, W.
Long, D.
Chi, C.-H. 
Keywords: Autocorrelation functions
Long-range dependence
Optimal approximation
Teletraffic modeling
Issue Date: 2003
Citation: Li, 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
Abstract: The 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.
Source Title: Applied Mathematical Modelling
URI: http://scholarbank.nus.edu.sg/handle/10635/39289
ISSN: 0307904X
DOI: 10.1016/S0307-904X(02)00087-2
Appears in Collections:Staff Publications

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