NDLI: Parameter estimation in FARIMA processes with applications to network traffic modeling

Content Provider	IEEE Xplore Digital Library
Author	Ilow, J.
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Dalhousie Univ., Halifax, NS, Canada (Ilow, J.)
Abstract	Traffic measurements in many network environments demonstrate the coexistence of both long- and short-range dependence in traffic traces. In this paper, we use the fractionally integrated autoregressive moving average (FARIMA) processes with non-Gaussian innovations to describe packet arrival rate in unit time. Specifically, we investigate cepstrum-based approaches for parameter estimation in FARIMA processes. We examine the fractional differencing parameter estimation procedure based on the smoothed periodogram and the log spectrum. The simulation results demonstrate that the proposed cepstrum approach gives better estimation accuracy than the conventional least-square spectrum fit. Usefulness of the results presented is demonstrated on real network traffic traces by considering spectral fitting metrics.
Starting Page	505
Ending Page	509
File Size	489485
Page Count	5
File Format	PDF
ISBN	0780359887
DOI	10.1109/SSAP.2000.870176
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-08-16
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Intelligent networks Telecommunication traffic Traffic control Autoregressive processes Communication system traffic control Autocorrelation Gaussian noise Yttrium Application software
Content Type	Text
Learning Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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