TY - GEN
T1 - Where the sidewalk ends
T2 - 2009 ACM Conference on Emerging Networking Experiments and Technologies, CoNEXT'09
AU - Chen, Kai
AU - Choffnes, David R.
AU - Potharaju, Rahul
AU - Chen, Yan
AU - Bustamante, Fabian E
AU - Pei, Dan
AU - Zhao, Yao
PY - 2009
Y1 - 2009
N2 - An accurate Internet topology graph is important in many areas of networking, from deciding ISP business relationships to diagnosing network anomalies. Most Internet mapping efforts have derived the network structure, at the level of interconnected autonomous systems (ASes), from a limited number of either BGP- or traceroute- based data sources. While techniques for charting the topology continue to improve, the growth of the number of vantage points is significantly outpaced by the rapid growth of the Internet. In this paper, we argue that a promising approach to revealing the hidden areas of the Internet topology is through active measurement from an observation platform that scales with the growing Internet. By leveraging measurements performed by an extension to a popular P2P system, we show that this approach indeed exposes significant new topological information. Based on traceroute measurements from more than 992,000 IPs in over 3,700 ASes distributed across the Internet hierarchy, our proposed heuristics identify 23,914 new AS links not visible in the publicly-available BGP data - 12.86% more customer-provider links and 40.99% more peering links, than previously reported. We validate our heuristics using data from a tier-1 ISP and show that they correctly filter out all false links introduced by public IP-to-AS mapping. We have made the identified set of links and their inferred relationships publically available.
AB - An accurate Internet topology graph is important in many areas of networking, from deciding ISP business relationships to diagnosing network anomalies. Most Internet mapping efforts have derived the network structure, at the level of interconnected autonomous systems (ASes), from a limited number of either BGP- or traceroute- based data sources. While techniques for charting the topology continue to improve, the growth of the number of vantage points is significantly outpaced by the rapid growth of the Internet. In this paper, we argue that a promising approach to revealing the hidden areas of the Internet topology is through active measurement from an observation platform that scales with the growing Internet. By leveraging measurements performed by an extension to a popular P2P system, we show that this approach indeed exposes significant new topological information. Based on traceroute measurements from more than 992,000 IPs in over 3,700 ASes distributed across the Internet hierarchy, our proposed heuristics identify 23,914 new AS links not visible in the publicly-available BGP data - 12.86% more customer-provider links and 40.99% more peering links, than previously reported. We validate our heuristics using data from a tier-1 ISP and show that they correctly filter out all false links introduced by public IP-to-AS mapping. We have made the identified set of links and their inferred relationships publically available.
KW - AS-level topology
KW - BGP
KW - Internet measurement
KW - Traceroute
UR - http://www.scopus.com/inward/record.url?scp=76749106199&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=76749106199&partnerID=8YFLogxK
U2 - 10.1145/1658939.1658964
DO - 10.1145/1658939.1658964
M3 - Conference contribution
AN - SCOPUS:76749106199
SN - 9781605586366
T3 - CoNEXT'09 - Proceedings of the 2009 ACM Conference on Emerging Networking Experiments and Technologies
SP - 217
EP - 228
BT - CoNEXT'09 - Proceedings of the 2009 ACM Conference on Emerging Networking Experiments and Technologies
Y2 - 1 December 2009 through 4 December 2009
ER -