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Abstract: Robust measurements of network dynamics are increasingly important to the design and operation of large internetworks like the Internet. However, administrative diversity makes it impractical to monitor every link on an end-to-end path. At the same time, it is difficult to determine the performance characteristics of individual links from end-to-end measurements of unicast traffic. In this paper, we introduce the use of end-to-end measurements of multicast traffic to infer networkinternal... (Update)
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BibTeX entry: (Update)
R. Caceres, N.G. Duffield, J. Horowitz, D. Towsley, "Multicast-Based Inference of Network-Internal Loss Characteristics," Comp. Sci. Tech. Rep. 98-17, University of Massachusetts at Amherst, February 1998. ftp://gaia.cs.umass.edu/pub/ CDHT98:MINC.ps.Z http://citeseer.ist.psu.edu/article/caceres98multicastbased.html More
@misc{ caceres98multicastbased,
author = "R. Caceres and N. Duffield and J. Horowitz and D. Towsley",
title = "Multicast-Based Inference of Network-Internal Loss Characteristics",
text = "R. Caceres, N.G. Duffield, J. Horowitz, D. Towsley, Multicast-Based Inference
of Network-Internal Loss Characteristics, Comp. Sci. Tech. Rep. 98-17, University
of Massachusetts at Amherst, February 1998. ftp://gaia.cs.umass.edu/pub/
CDHT98:MINC.ps.Z",
year = "1998",
url = "citeseer.ist.psu.edu/article/caceres98multicastbased.html" }
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