• DocumentCode
    1333203
  • Title

    The use of end-to-end multicast measurements for characterizing internal network behavior

  • Author

    Adams, Andrew ; Bu, Tian ; Friedman, Timur ; Horowitz, Joseph ; Towsley, Don ; Cáceres, Ramón ; Duffield, Nick ; Presti, Francesco Lo ; Moon, Sue B. ; Paxson, Vern

  • Author_Institution
    Pittsburgh Super Comput. Center, PA, USA
  • Volume
    38
  • Issue
    5
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    152
  • Lastpage
    159
  • Abstract
    We present a novel methodology for identifying internal network performance characteristics based on end-to-end multicast measurements. The methodology, solidly grounded on statistical estimation theory, can be used to characterize the internal loss and delay behavior of a network. Measurements on the MBone have been used to validate the approach in the case of losses. Extensive simulation experiments provide further validation of the approach, not only for losses, but also for delays. We also describe our strategy for deploying the methodology on the Internet. This includes the continued development of the National Internet Measurement Infrastructure to support RTP-based end-to-end multicast measurements and the development of software tools to analyze the traces. Once complete, this combined software/hardware infrastructure will provide a service for understanding and forecasting the performance of the Internet
  • Keywords
    Internet; delays; digital simulation; estimation theory; losses; multicast communication; performance evaluation; software tools; statistical analysis; transport protocols; Internet; MBone; National Internet Measurement Infrastructure; RTCP; RTP; end-to-end multicast measurements; internal delay; internal loss; internal network behavior; internal network performance characteristics; real-time transport protocol; simulation experiments; software tools; software/hardware infrastructure; statistical estimation theory; Computer networks; Delay; Hardware; Internet; Moon; Performance loss; Software measurement; Software tools; Statistics; Telecommunication traffic;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/35.841840
  • Filename
    841840