TY - GEN
T1 - China's Internet
T2 - IEEE Conference on Computer Communications, INFOCOM 2012
AU - Tian, Ye
AU - Dey, Ratan
AU - Liu, Yong
AU - Ross, Keith W.
PY - 2012
Y1 - 2012
N2 - We perform a large-scale topology mapping and geolocation study for China's Internet. To overcome the limited number of Chinese PlanetLab nodes and looking glass servers, we leverage several unique features in China's Internet, including the hierarchical structure of the major ISPs and the abundance of IDCs. Using only 15 vantage points, we design a traceroute scheme that finds significantly more interfaces and links than iPlane with significantly fewer traceroute probes. We then consider the problem of geolocating router interfaces and end hosts in China. We develop a heuristic for clustering the interface topology of a hierarchical ISP, and then apply the heuristic to the major Chinese ISPs. We show that the clustering heuristic can geolocate router interfaces with significantly more detail and accuracy than can the existing geoIP databases in isolation, and the resulting clusters expose the major ISPs' provincial structure. Finally, using the clustering heuristic, we propose a methodology for improving commercial geoIP databases.
AB - We perform a large-scale topology mapping and geolocation study for China's Internet. To overcome the limited number of Chinese PlanetLab nodes and looking glass servers, we leverage several unique features in China's Internet, including the hierarchical structure of the major ISPs and the abundance of IDCs. Using only 15 vantage points, we design a traceroute scheme that finds significantly more interfaces and links than iPlane with significantly fewer traceroute probes. We then consider the problem of geolocating router interfaces and end hosts in China. We develop a heuristic for clustering the interface topology of a hierarchical ISP, and then apply the heuristic to the major Chinese ISPs. We show that the clustering heuristic can geolocate router interfaces with significantly more detail and accuracy than can the existing geoIP databases in isolation, and the resulting clusters expose the major ISPs' provincial structure. Finally, using the clustering heuristic, we propose a methodology for improving commercial geoIP databases.
UR - http://www.scopus.com/inward/record.url?scp=84861644845&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861644845&partnerID=8YFLogxK
U2 - 10.1109/INFCOM.2012.6195646
DO - 10.1109/INFCOM.2012.6195646
M3 - Conference contribution
AN - SCOPUS:84861644845
SN - 9781467307758
T3 - Proceedings - IEEE INFOCOM
SP - 2531
EP - 2535
BT - 2012 Proceedings IEEE INFOCOM, INFOCOM 2012
Y2 - 25 March 2012 through 30 March 2012
ER -