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Identifying Long-range Dependent Network Traffic through Autocorrelation Functions

Mohammed Rezaul, Karim and Grout, Vic (2007) Identifying Long-range Dependent Network Traffic through Autocorrelation Functions. In: UNSPECIFIED.

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Abstract

For over a decade researchers have been reporting the impact of self-similar long-range dependent network traffic. Long-range dependence (LRD) is of great significance in traffic engineering problems such as measurement, queuing strategy, buffer sizing and admission and congestion control. In this research, in order to determine the existence of LRD, we apply three different robust versions of the autocorrelation function (ACF), namely weighted ACF (WACF), trimmed ACF (TACF) and variance-ratio of differences and sums, known as the D/S variance estimator (DACF), in conjunction with the sample ACF (which is moment based). Here we define the moment based ACF as MACF. In telecommunications, LRD traffic defines that a similar pattern of traffic persists for a longer span of time. Through ACF, it is possible to detect how long the traffic lasts. The aim of this research is to investigate the performance of ACF in identifying the existence of LRD traffic.

Item Type: Conference or Workshop Item
Additional Information: Copyright © 2007 IEEE. This is a reprint of a paper that was presented at the 32nd IEEE Conference on Local Computer Networks (LCN 2007), 15-18 October 2007, held in Dublin, Ireland. It was published by the IEEE computer society and details of the published paper are available at http://doi.ieeecomputersociety.org/10.1109/LCN.2007.38This 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 Glyndwr University'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: Self-similarity, LRD, Tail Index, Hurst parameter
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/306

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