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
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