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A Survey of Performance Evaluation and Control for Self-Similar Network Traffic

Mohammed Rezaul, Karim and Grout, Vic (2007) A Survey of Performance Evaluation and Control for Self-Similar Network Traffic. 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: Copyright © 2007 Glyndwr University. This paper was presented at the Second International Conference on Internet Technologies and Applications (ITA 07), Wrexham, North Wales, UK, 4-7 September 2007, pp514-524. Details of the conference can be found at http://www.newi.ac.uk/computing/research/ita07/index.htmlThe full proceedings of the conference can be found at http://www.lulu.com/product/paperback/proceedings-of-the-second-international-conference-on-internet-technologies-and-applications/1333637
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/339

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