| D. Magoni and J. Pansiot. Analysis and Comparison of Internet Topology Generators. In 2nd International IFIP-TC6 Networking Conference, 2002. |
....Barab asiAlbert model [1] and topology generators such as Inet [21] and generation models in BRITE[27] measured success primarily in terms of graph connectivity properties, such as node degree distributions. An active debate about the merits and limitations of these approaches is ongoing [21] [24], 7] 4] the jury is still out on which models are best and studies have shown varying conclusions depending on the generators used [31] Our goal is not to propose a new topology generation method in this paper, but to suggest a wider set of bases for the construction of topology generation ....
D. Magoni and J. Pansiot. Analysis and Comparison of Internet Topology Generators. In 2nd International IFIP-TC6 Networking Conference, 2002.
....shows strong evidence of sampling bias. Our results suggest that since long tailed degree distributions can arise simply through biased sampling of graphs, node degree distribution alone may not be a sufficiently robust metric for characterizing [7] or comparing router level topologies [24], 25] An interesting, and seemingly very difficult open question related to our work is that of conducting statistically unbiased random samples of properties of nodes and links in the Internet. Measurement methods targeted at a specific region of the Internet, such as those used by Rocketfuel ....
D. Magoni and J. Pansiot, "Analysis and Comparison of Internet Topology Generators," in 2nd International IFIP-TC6 Networking Conference, 2002.
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D. Magoni and J.-J. Pansiot, "Analysis and Comparison of Internet Topology Generators", In Proceedings of IFIP-TC6 Networking'02, Pisa, Italy, May 2002, pp. 364-375.
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