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 |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.