Forecasting network traffic using FARIMA models with heavy tailed innovations

Jacek Ilow

doi:10.1109/ICASSP.2000.860234

Forecasting network traffic using FARIMA models with heavy tailed innovations

Jacek Ilow

Physics and Astronomy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

42 Citations (Scopus)

Original language	English
Title of host publication	Design and Implementation of Signal Processing SystemNeural Networks for Signal Processing Signal Processing EducationOther Emerging Applications of Signal ProcessingSpecial Sessions
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3814-3817
Number of pages	4
ISBN (Electronic)	0780362934
DOIs	https://doi.org/10.1109/ICASSP.2000.860234
Publication status	Published - 2000
Event	25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey Duration: Jun 5 2000 → Jun 9 2000

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	6
ISSN (Print)	1520-6149

Conference

Conference	25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
Country/Territory	Turkey
City	Istanbul
Period	6/5/00 → 6/9/00

ASJC Scopus Subject Areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2000.860234

Cite this

Ilow, J. (2000). Forecasting network traffic using FARIMA models with heavy tailed innovations. In Design and Implementation of Signal Processing SystemNeural Networks for Signal Processing Signal Processing EducationOther Emerging Applications of Signal ProcessingSpecial Sessions (pp. 3814-3817). Article 860234 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2000.860234

Forecasting network traffic using FARIMA models with heavy tailed innovations. / Ilow, Jacek.
Design and Implementation of Signal Processing SystemNeural Networks for Signal Processing Signal Processing EducationOther Emerging Applications of Signal ProcessingSpecial Sessions. Institute of Electrical and Electronics Engineers Inc., 2000. p. 3814-3817 860234 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 6).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ilow, J 2000, Forecasting network traffic using FARIMA models with heavy tailed innovations. in Design and Implementation of Signal Processing SystemNeural Networks for Signal Processing Signal Processing EducationOther Emerging Applications of Signal ProcessingSpecial Sessions., 860234, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 6, Institute of Electrical and Electronics Engineers Inc., pp. 3814-3817, 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000, Istanbul, Turkey, 6/5/00. https://doi.org/10.1109/ICASSP.2000.860234

Ilow J. Forecasting network traffic using FARIMA models with heavy tailed innovations. In Design and Implementation of Signal Processing SystemNeural Networks for Signal Processing Signal Processing EducationOther Emerging Applications of Signal ProcessingSpecial Sessions. Institute of Electrical and Electronics Engineers Inc. 2000. p. 3814-3817. 860234. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2000.860234

Ilow, Jacek. / Forecasting network traffic using FARIMA models with heavy tailed innovations. Design and Implementation of Signal Processing SystemNeural Networks for Signal Processing Signal Processing EducationOther Emerging Applications of Signal ProcessingSpecial Sessions. Institute of Electrical and Electronics Engineers Inc., 2000. pp. 3814-3817 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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Forecasting network traffic using FARIMA models with heavy tailed innovations

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ASJC Scopus Subject Areas

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