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Network loss tomography using striped unicast probes
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Source IEEE/ACM Transactions on Networking (TON) archive
Volume 14 ,  Issue 4  (August 2006) table of contents
Pages: 697 - 710  
Year of Publication: 2006
ISSN:1063-6692
Authors
Nick Duffield  AT&T Labs-Research, Florham Park, NJ
Francesco Lo Presti  Computer Engineering Department, Universita di Roma, "Tor Vergata", Roma, Italy
Vern Paxson  ICSI Center for Internet Research, International Computer Science Institute, Berkeley, CA
Don Towsley  Department of Computer Science, University of Massachusetts, Amherst, MA
Publisher
IEEE Press  Piscataway, NJ, USA
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DOI Bookmark: 10.1109/TNET.2006.880182

ABSTRACT

In this paper, we explore the use of end-to-end unicast traffic as measurement probes to infer link-level loss rates. We leverage off of earlier work that produced efficient estimates for link-level loss rates based on end-to-end multicast traffic measurements. We design experiments based on the notion of transmitting stripes of packets (with no delay between transmission of successive packets within a stripe) to two or more receivers. The purpose of these stripes is to ensure that the correlation in receiver observations matches as closely as possible what would have been observed if a multicast probe followed the same path to the receivers. Measurements provide good evidence that a packet pair to distinct receivers introduces considerable correlation which can be further increased by simply considering longer stripes. Using an M/M/1/K model for a link, we theoretically confirm this benefit for stripes. We also use simulation to explore how well these stripes translate into accurate link-level loss estimates. We observe good accuracy with packet pairs, with a typical error of about 1%, which significantly decreases as stripe length is increased.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Nick Duffield: colleagues
Francesco Lo Presti: colleagues
Vern Paxson: colleagues
Don Towsley: colleagues