On Weather and Internet Traffic Demand

  • Juan Camilo Cardona
  • Rade Stanojevic
  • Rubén Cuevas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7799)


The weather is known to have a major impact on demand of utilities such as electricity or gas. Given that the Internet usage is strongly tied with human activity, one could guess the existence of similar correlation between its traffic demand and weather conditions. In this paper, we empirically quantify such effects. We find that the influence of precipitation depends on both time of the day as well as time of the year, and is maximal in the late afternoon over summer months.


Internet Usage Late Afternoon Traffic Demand Load Forecast Term Correlation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Ager, B., et al.: Anatomy of a large european IXP. In: Proc. of ACM SIGCOMM (2012)Google Scholar
  2. 2.
    Bischof, Z.S., Otto, J.S., Bustamante, F.E.: Distributed Systems and Natural Disasters. In: Proc. ACM SWID (2011)Google Scholar
  3. 3.
    Cardona, J.C., Stanojevic, R., Cuevas, R.: On Weather and Internet Traffic Demand. T. Report (September 2012),
  4. 4.
    Feinberg, E., Genethliou, D.: Load forecasting. Applied Mathematics for Restructured Electric Power Systems (2005)Google Scholar
  5. 5.
    Papagiannaki, K., Taft, N., Zhang, Z.L., Diot, C.: Long-Term Forecasting of Internet Backbone Traffic: Observations and Initial Models. In: Proc. of IEEE INFOCOM (2003)Google Scholar
  6. 6.
    Roe, K., Vandebosch, H.: Weather to view or not: That is the question. European Journal of Communication 11(2), 201–216 (1996)CrossRefGoogle Scholar
  7. 7.
    Schulman, A., Spring, N.: Pingin’ in the Rain. In: Proc. of ACM IMC 2011 (2011)Google Scholar
  8. 8.
    Welch, B.L.: The generalization of Student’s problem when several different population variances are involved. Biometrika 34(1-2), 28–35 (1947), doi:10.1093/biomet/34.1-2.28 MR19277Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Juan Camilo Cardona
    • 1
    • 3
  • Rade Stanojevic
    • 2
  • Rubén Cuevas
    • 1
  1. 1.Institute IMDEA NetworksSpain
  2. 2.Telefonica ResearchSpain
  3. 3.UC3MSpain

Personalised recommendations