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Network Performance Implications of Variability in Data Traffic.

Roadknight, Chris and Marshall, Ian W. and Bilchev, George (2000) Network Performance Implications of Variability in Data Traffic. BT Technology Journal, 18 (2). pp. 151-158. ISSN 1573-1995

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    Abstract

    World Wide Web (WWW) traffic will dominate network traffic for the foreseeable future. Accurate predictions of network performance can only be achieved if network models reflect WWW traffic statistics. Through analysis of usage logs at a range of caches it is shown that WWW traffic is not a Poisson arrival process, and that it displays significant levels of self-similarity. It is also shown for the first time that the self-similar variability extends to demand for individual pages, and is far more pervasive than previously thought. These measurements are used as the basis for a cache-modelling tool-kit. Using this software the impact of the variability on predictive planning is illustrated. The model predicts that optimisations based on predictive algorithms (such as least recently used discard) are likely to reduce performance very quickly. This means that, far from improving the efficiency of the network, conventional approaches to network planning and engineering will tend to reduce efficiency and increase costs.

    Item Type: Article
    Journal or Publication Title: BT Technology Journal
    Additional Information: The original publication is available at www.springerlink.com.
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Departments: Faculty of Science and Technology > Lancaster Environment Centre
    ID Code: 27226
    Deposited By: Mrs Yaling Zhang
    Deposited On: 08 Oct 2009 16:26
    Refereed?: Yes
    Published?: Published
    Last Modified: 26 Jul 2012 16:40
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/27226

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