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INFOCOM
2003
IEEE

Sampling Biases in IP Topology Measurements

13 years 9 months ago
Sampling Biases in IP Topology Measurements
— Considerable attention has been focused on the properties of graphs derived from Internet measurements. Router-level topologies collected via traceroute-like methods have led some to conclude that the router graph of the Internet is well modeled as a power-law random graph. In such a graph, the degree distribution of nodes follows a distribution with a power-law tail. We argue that the evidence to date for this conclusion is at best insufficient. We show that when graphs are sampled using traceroute-like methods, the resulting degree distribution can differ sharply from that of the underlying graph. For example, given a sparse Erd¨os-R´enyi random graph, the subgraph formed by a collection of shortest paths from a small set of random sources to a larger set of random destinations can exhibit a degree distribution remarkably like a power-law. We explore the reasons for how this effect arises, and show that in such a setting, edges are sampled in a highly biased manner. This insig...
Anukool Lakhina, John W. Byers, Mark Crovella, Pen
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where INFOCOM
Authors Anukool Lakhina, John W. Byers, Mark Crovella, Peng Xie
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