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Internet traffic dynamics

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Author Info
Madden, Gary G
Coble-Neal, Grant
Abstract

The telecommunications industry has evolved at unprecedented rates with current estimates suggesting that seven percent of the world’s population now has access to the Internet. However, such growth has stimulated vigorous competition in national and international telecommunications markets leading to a price-cost margin squeeze and unsustainable rates of network expansion. This study demonstrates the reliability of established extrapolation methods for forecasting bandwidth demand and provides network managers with the opportunity to observe Internet traffic dynamics. The ability to anticipate periods of peak use and surplus capacity is likely to pay dividends in terms of a more targeted approach to network expansion plans.

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File URL: http://mpra.ub.uni-muenchen.de/10827/
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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 10827.

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Date of creation: 2004
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Publication status: Published in Telektronikk 100.4(2004): pp. 168-179
Handle: RePEc:pra:mprapa:10827

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Related research
Keywords: Telecommunications; forecasting; bandwidth;

Find related papers by JEL classification:
L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

References listed on IDEAS
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  1. Fildes, Robert & Hibon, Michele & Makridakis, Spyros & Meade, Nigel, 1998. "Generalising about univariate forecasting methods: further empirical evidence," International Journal of Forecasting, Elsevier, vol. 14(3), pages 339-358, September. [Downloadable!] (restricted)
  2. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June. [Downloadable!] (restricted)
  3. Severin Borenstein & Garth Saloner, 2001. "Economics and Electronic Commerce," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 3-12, Winter. [Downloadable!] (restricted)
  4. Fildes, Robert, 1992. "The evaluation of extrapolative forecasting methods," International Journal of Forecasting, Elsevier, vol. 8(1), pages 81-98, June. [Downloadable!] (restricted)
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This page was last updated on 2009-12-14.


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