The internet AS-level topology: three data sources and one definitive metric

By Priya Mahadevan, Dmitri V. Krioukov, Marina Fomenkov, Xenofontas A. Dimitropoulos, K. Claffy, Amin Vahdat. CCRV, 2005

387 citations recorded by the source corpus.

We calculate an extensive set of characteristics for Internet AS topologies extracted from the three data sources most frequently used by the research community: traceroutes, BGP, and WHOIS. We discover that traceroute and BGP topologies are similar to one another but differ substantially from the WHOIS topology. Among the widely considered metrics, we find that the joint degree distribution appears to fundamentally characterize Internet AS topologies as well as narrowly define values for other important metrics. We discuss the interplay between the specifics of the three data collection mechanisms and the resulting topology views. In particular, we how how the data collection peculiarities explain differences in the resulting joint degree distributions of the respective topologies. Finally, we release to the community the input topology datasets, along with the scripts and output of our calculations. This supplement hould enable researchers to validate their models against real data and to make more informed election of topology data sources for their specific needs

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/57790fe26287766e41f4ce45234a385fd6779f8b

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In Computer Networks and Communications

In Statistical and Nonlinear Physics

Citations in the corpus

Systematic topology analysis and generation using degree correlations (2006, background): “In our experience, we find that dK-randomizing rewiring is easiest to use.”
Named data networking (2014, positive): “The Internet topology at the AS level is a scale-free, strongly clustered small world [18], which has a deep connection with hyperbolic geometry of latent spaces eﬀectively underlying the topology [16].”