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Traffic Matrix Estimation on a Large IP Backbone -- A Comparison on Real Data (2004)
| Venue: | IMC'04 |
| Citations: | 51 - 1 self |
BibTeX
@MISC{Gunnar04trafficmatrix,
author = {Anders Gunnar and Mikael Johansson and Thomas Telkamp},
title = {Traffic Matrix Estimation on a Large IP Backbone -- A Comparison on Real Data},
year = {2004}
}
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Abstract
This paper considers the problem of estimating the point-to -point traffic matrix in an operational IP backbone. Contrary to previous studies, that have used a partial traffic matrix or demands estimated from aggregated Netflow traces, we use a unique data set of complete traffic matrices from a global IP network measured over five-minute intervals. This allows us to do an accurate data analysis on the time-scale of typical link-load measurements and enables us to make a balanced evaluation of different traffic matrix estimation techniques. We describe the data collection infrastructure, present spatial and temporal demand distributions, investigate the stability of fan-out factors, and analyze the mean-variance relationships between demands. We perform a critical evaluation of existing and novel methods for traffic matrix estimation, including recursive fanout estimation, worst-case bounds, regularized estimation techniques, and methods that rely on mean-variance relationships. We discuss the weaknesses and strengths of the various methods, and highlight differences in the results for the European and American subnetworks.
Keyphrases
traffic matrix estimation real data large ip backbone comparison mean-variance relationship operational ip backbone various method worst-case bound accurate data analysis fan-out factor recursive fanout estimation tra matrix estimation di erences previous study typical link-load measurement pointto point tra matrix global ip network temporal demand distribution balanced evaluation present spatial complete tra matrix estimation technique five-minute interval critical evaluation data collection infrastructure unique data set american subnetworks netflow trace novel method partial traffic matrix
