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Internet traffic dynamics

Author

Listed:
  • 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.

Suggested Citation

  • Madden, Gary G & Coble-Neal, Grant, 2004. "Internet traffic dynamics," MPRA Paper 10827, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:10827
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    File URL: https://mpra.ub.uni-muenchen.de/10827/1/MPRA_paper_10827.pdf
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    References listed on IDEAS

    as
    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.
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    3. Severin Borenstein & Garth Saloner, 2001. "Economics and Electronic Commerce," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 3-12, Winter.
    4. 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.
    5. Fildes, Robert, 1992. "The evaluation of extrapolative forecasting methods," International Journal of Forecasting, Elsevier, vol. 8(1), pages 81-98, June.
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    Citations

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    Cited by:

    1. Meade, Nigel & Islam, Towhidul, 2015. "Forecasting in telecommunications and ICT—A review," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1105-1126.
    2. D’Ignazio, Alessio & Giovannetti, Emanuele, 2015. "Predicting internet commercial connectivity wars: The impact of trust and operators’ asymmetry," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1127-1137.

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    More about this item

    Keywords

    Telecommunications; forecasting; bandwidth;
    All these keywords.

    JEL classification:

    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

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