Latest revision as of 00:08, 29 January 2021

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.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.4108/valuetools.2007.1892

• http://eudl.eu/pdf/10.4108/valuetools.2007.1892

• https://dl.acm.org/citation.cfm?id=1345300,

https://dblp.uni-trier.de/db/conf/valuetools/valuetools2007.html#RezaulG07,

https://doi.acm.org/10.1145/1345263.1345300,

https://eudl.eu/doi/10.4108/valuetools.2007.1892,

https://glyndwr.repository.guildhe.ac.uk/215,

https://dl.acm.org/ft_gateway.cfm?id=1345300&ftid=501072&dwn=1,

http://glyndwr.collections.crest.ac.uk/215,

http://collections.crest.ac.uk/215,

https://academic.microsoft.com/#/detail/1998539287

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