Carnegie Mellon University
file.pdf (161.62 kB)

Topology Inference from BGP Routing Dynamics

Download (161.62 kB)
journal contribution
posted on 2003-06-01, 00:00 authored by David G. Andersen, Nick Feamster, Steve Bauer, Hari Balakrishnan
This paper describes a method of inferring logical relationships between network prefixes within an Autonomous System (AS) using only passive monitoring of BGP messages. By clustering these prefixes based upon similarities between their update times, we create a hierarchy linking the prefixes within the larger AS.We can frequently identify groups of prefixes routed to the same ISP Point of Presence (PoP), despite the lack of identifying information in the BGP messages. Similarly, we observe disparate prefixes under common organizational control, or with long shared network paths. In addition to discovering interesting network characteristics, our passive method facilitates topology discovery by potentially reducing the number of active probes required in traditional traceroute-based Internet mapping mechanisms




Usage metrics