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Pingin' in the rain

Published:02 November 2011Publication History

ABSTRACT

Residential Internet connections are susceptible to weather-caused outages: Lightning and wind cause local power failures, direct lightning strikes destroy equipment, and water in the atmosphere degrades satellite links. Outages caused by severe events such as fires and undersea cable cuts are often reported upon by operators and studied by researchers. In contrast, outages cause by ordinary weather are typically limited in scope, and because of their small scale, there has not been comparable effort to understand how weather affects everyday last-mile Internet connectivity. We design and deploy a measurement tool called ThunderPing that measures the connectivity of residential Inter- net hosts before, during, and after forecast periods of severe weather. ThunderPing uses weather alerts from the US National Weather Service to choose a set of residential host addresses to ping from several vantage points on the Internet. We then process this ping data to determine when hosts lose connectivity, completely or partially, and categorize whether these failures occur during periods of severe weather or when the skies are clear. In our preliminary results, we find that compared to clear weather, failures are four times as likely during thunderstorms and two times as likely during rain. We also find that the duration of weather induced outages is relatively small for a satellite provider we focused on.

References

  1. E. W. W. Chan, X. Luo, W. W. T. Fok, W. Li, , and R. K. C. Chang. Non-cooperative diagnosis of submarine cable faults. In Passive and Active Measurement Conference (PAM), 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Committee on the Internet Under Crisis Conditions: Learning from the Impact of September 11. The Internet Under Crisis Conditions Learning from September 11. National Academies Press, 2003.Google ScholarGoogle Scholar
  3. M. Dischinger, A. Haeberlen, K. P. Gummadi, and S. Saroiu. Characterizing residential broadband networks. In Proceedings of the ACM Internet Measurement Conference (IMC), 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. J. Heidemann, Y. Pradkin, R. Govindan, C. Papadopoulos, G. Bartlett, and J. Bannister. Census and survey of the visible Internet. In Proceedings of the ACM Internet Measurement Conference (IMC), 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. MaxMind, Inc. GeoIP city database. http://www.maxmind.com/app/city, Jan. 2011.Google ScholarGoogle Scholar
  6. I. Minei and R. Cohen. High-speed internet access through unidirectional geostationary satellite channels. In IEEE Journal on Selected Areas in Communications, 1999.Google ScholarGoogle Scholar
  7. National Weather Service. NWS public alerts in XML/CAP v1.1 and ATOM formats. http://alerts.weather.gov/.Google ScholarGoogle Scholar
  8. D. C. Plummer. RFC 826: Ethernet Address Resolution Protocol: Or converting network protocol addresses to 48.bit Ethernet address for transmission on Ethernet hardware, Nov. 1982. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. I. Poese, S. Uhlig, M. A. Kaafa, B. Donnet, and B. Gueye. IP geolocation databases: Unreliable? In ACM SIGCOMM Computer Communication Review (CCR), 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Y. Wang, D. Burgener, M. Flores, A. Kuzmanovic, and C. Huang. Towards street-level client-independent IP geolocation. In USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Weather Underground. Weather history and data archive. http://www.wunderground.com/history/.Google ScholarGoogle Scholar
  12. B. Wong, I. Stoyanov, and E. G. Sirer. Octant: A comprehensive framework for the geolocalization of Internet hosts. In USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Y. Xie, F. Yu, K. Achan, E. Gillum, M. Goldszmidt, and T. Wobber. How dynamic are IP addresses? In Proceedings of the ACM SIGCOMM Conference, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library

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      • Published in

        cover image ACM Conferences
        IMC '11: Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
        November 2011
        612 pages
        ISBN:9781450310130
        DOI:10.1145/2068816

        Copyright © 2011 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 2 November 2011

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