Lessons from Three Views of the Internet Topology
Priya Mahadevan, Dmitri Krioukov, Marina Fomenkov, Bradley Huffaker,, Xenofontas Dimitropoulos, kc claffy, Amin Vahdat

TL;DR
This paper analyzes Internet AS-level topologies from three data sources, revealing differences and similarities, and emphasizes the importance of joint degree distribution in characterizing topologies, while providing datasets and tools for validation.
Contribution
It compares three common data sources for Internet topology, introduces an evaluation criterion for topology generators, and releases datasets and tools for community use.
Findings
Traceroute and BGP topologies are similar but differ from WHOIS.
Joint degree distribution characterizes key topology properties.
Generators reproducing degree distributions alone are insufficient.
Abstract
Network topology plays a vital role in understanding the performance of network applications and protocols. Thus, recently there has been tremendous interest in generating realistic network topologies. Such work must begin with an understanding of existing network topologies, which today typically consists of a relatively small number of data sources. In this paper, we calculate an extensive set of important characteristics of Internet AS-level topologies extracted from the three data sources most frequently used by the research community: traceroutes, BGP, and WHOIS. We find that traceroute and BGP topologies are similar to one another but differ substantially from the WHOIS topology. We discuss the interplay between the properties of the data sources that result from specific data collection mechanisms and the resulting topology views. We find that, among metrics widely considered,…
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Taxonomy
TopicsComplex Network Analysis Techniques · Social Media and Politics · Opinion Dynamics and Social Influence
