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Robustness of HEAF(2) for Estimating the Intensity of Long-Range Dependent Network Traffic

Mohammed Razaul, Karim and Grout, Vic (2007) Robustness of HEAF(2) for Estimating the Intensity of Long-Range Dependent Network Traffic. In: UNSPECIFIED.

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Abstract

The intensity of Long-Range Dependence (LRD) for communications network traffic can be measured using the Hurst parameter. LRD characteristics in computer networks, however, present a fundamentally different set of problems in research towards the future of network design. There are various estimators of the Hurst parameter, which differ in the reliability of their results. Getting robust and reliable estimators can help to improve traffic characterization, performance modelling, planning and engineering of real networks. Earlier research [1] introduced an estimator called the Hurst Exponent from the Autocorrelation Function (HEAF) and it was shown why lag 2 in HEAF (i.e. HEAF (2)) is considered when estimating LRD of network traffic. This paper considers the robustness of HEAF(2) when estimating the Hurst parameter of data traffic (e.g. packet sequences) with outliers.

Item Type: Conference or Workshop Item
Additional Information: Copyright © ICST 2007. This is the author's version of the work. It is posted here by permission of ICST for personal use. Not for redistribution.Copyright © 2007 IEEE. Paper presented to the Second IEEE Information and Communication Technologies International Conference (ICTIS'07), held at Fez, Morocco, 3rd -5th April 3-5 2007This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Glyndŵr University Wrexham's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Keywords: ACF, HEAF(2), LRD, Self-similarity
Divisions: ?? GlyndwrUniversity ??
Depositing User: ULCC Admin
Date Deposited: 05 Oct 2011 09:14
Last Modified: 11 Dec 2017 20:06
URI: http://glyndwr.collections.crest.ac.uk/id/eprint/273

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