Glyndŵr University Research Online repository

An Overview of Long-range Dependent Network Traffic Engineering and Analysis: Characteristics, Simulation, Modelling and Control

Mohammed Rezaul, Karim and Grout, Vic (2007) An Overview of Long-range Dependent Network Traffic Engineering and Analysis: Characteristics, Simulation, Modelling and Control. In: UNSPECIFIED.

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Abstract

This paper surveys techniques for the recognition and treatment of self-similar network or internetwork traffic. Various researchers have reported traffic measurements that demonstrate considerable burstiness on a range of time scales with properties of self-similarity. Rapid technological development has widened the scope of network and Internet applications and, in turn, increased traffic volume. The exponential growth of the number of servers, as well as the number of users, causes Internet performance to be problematic as a result of the significant impact that long-range dependent traffic has on buffer requirements. Consequently, accurate and reliable measurement, analysis and control of Internet traffic are vital. The most significant techniques for performance evaluation include theoretical analysis, simulation, and empirical study based on measurement. In this research, we discuss existing and recent developments in performance evaluation and control tools used in network traffic engineering.

Item Type: Conference or Workshop Item
Additional Information: Metadata only available from this repository. This paper presented to the Second International Conference on Performance Evaluation Methodologies and Tools Conference held at Ecole Normale Supérieure de Cachan, France on 23-25th October 2007. The paper is available online at http://portal.acm.org/citation.cfm?id=1345300
Keywords: self-similarity, ACF, LRD, heavy-tailed distribution, 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/215

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