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: Journal Article
Journal or Publication Title: BT Technology Journal
Additional Information: The original publication is available at www.springerlink.com.
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
Departments: Faculty of Science and Technology > Lancaster Environment Centre
ID Code: 27226
Deposited By: Users 810 not found.
Deposited On: 08 Oct 2009 15:26
Refereed?: Yes
Published?: Published
Last Modified: 18 Sep 2019 00:29
URI: https://eprints.lancs.ac.uk/id/eprint/27226

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