End-to-end routing behavior in the Internet
IEEE/ACM Transactions on Networking (TON)
An investigation of geographic mapping techniques for internet hosts
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Towards IP geolocation using delay and topology measurements
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Constraint-based geolocation of internet hosts
IEEE/ACM Transactions on Networking (TON)
Census and survey of the visible internet
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
Understanding block-level address usage in the visible internet
Proceedings of the ACM SIGCOMM 2010 conference
Internet background radiation revisited
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Selecting representative IP addresses for internet topology studies
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Towards street-level client-independent IP geolocation
Proceedings of the 8th USENIX conference on Networked systems design and implementation
Octant: a comprehensive framework for the geolocalization of internet hosts
NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation
Mapping the expansion of Google's serving infrastructure
Proceedings of the 2013 conference on Internet measurement conference
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Previous measurement-based IP geolocation algorithms have focused on accuracy, studying a few targets with increasingly sophisticated algorithms taking measurements from tens of vantage points (VPs). In this paper, we study how to scale up existing measurement-based geolocation algorithms like Shortest Ping and CBG to cover the whole Internet. We show that with many vantage points, VP proximity to the target is the most important factor affecting accuracy. This observation suggests our new algorithm that selects the best few VPs for each target from many candidates. This approach addresses the main bottleneck to geolocation scalability: minimizing traffic into each target (and also out of each VP) while maintaining accuracy. Using this approach we have currently geolocated about 35% of the allocated, unicast, IPv4 address-space (about 85% of the addresses in the Internet that can be directly geolocated). We visualize our geolocation results on a web-based address-space browser.