1. A Detailed Path-latency Model for Router Geolocation* Internetes hosztok mérés alapú geolokalizációja Sándor Laki, Péter Mátray, Péter Hága, István Csabai and Gábor Vattay Dept. of Physics of Complex Systems Eötvös Loránd University Budapest, Hungary * In Proc. IEEE Tridentcom-ONIT 2009, 6-8 April, 2009, Washington DC, USA

2. Location information can be useful to both private and corporate users –Targeted advertising on the web –Restricted content delivery –Location-based security check –Web statistics Scientific applications –Measurement visualization –Network diagnostics Motivation

3. Geolocation in General Passive geolocation –Extracting location information from domain names –DNS and WhoIS databases –Commercial databases MaxMind, IPligence, Hexasoft –Large and geographically dispersed IP blocks can be allocated to a single entity Active geolocation –Active probing –Measurement nodes with known locations –Constraint based techniques

4. Measurement Based Geolocation Active measurements – Network Delays Delays can be transformed to geographic distance –Round Trip Time (ping) –One-way delay Effects of overestimation Effects of underestimation – Topology Network-path discovery –Traceroute with fixed port pairs Interface clustering –Mercator, etc.

5. Modeling Packet Delays A packet delay ( d ) can be divided into… –Queuing delay ( D q ) –Processing delay ( D pc ) –Transmission delay ( D tr ) –Propagation delay ( D pg ) A given path: The overall packet delay for a network path ( s=n 0 and d=n H ): n0n0 n1n1 n2n2 nHnH … Only the propagation component has role in the geolocation

6. How to Estimate Propagation Delays Assumptions in the model –No queuing: D q = 0 –The per-hop processing and transmission delays can be approximated by a global constant: d h = D pc + D tr –Based on the literature and our observations d h = 100  s The one-way propagation delay along a given path:

7. Distance Approximation An upper approximation of geographical distance from source s to destination d : where r is the velocity of signal propagation in network [in c units] s d Physical properties of cables cable curvatures in copper: ~0.7 in fiber : 0.65

8. 1. Round-Trip Time Constraint Using path-latency model –Round-trip propagation delay from a landmark Upper approximation of one-way propagation delay L t The node to be localized Landmark with known location

9. Locating internal routers L3L3 L1L1 L2L2 n1n1 n2n2 n3n3

10. 2. Per-link Distances Link latency estimation –For a symmetric link e L1L1 n i-1 nini Internet RTT 1 RTT 2 RTT 1 – RTT 2 n i-1 nini e L1L1 L2L2

11. 3. One-way Delay Constraint Constraint for a network path between two landmarks –Limiting the geographic length of a given network path High-precision OWD measurements L1L1 n1n1 L2L2 n2n2 n3n3

12. L3L3 L1L1 L2L2 n1n1 n2n2 n3n3 Locating internal routers

13. Performance Analysis

14. Summary Estimating propagation delays more precisely – Separation of propagation and per-hop delays in the overall packet latency Velocity of signal propagation in network is much smaller than we assumed before due to curvatures The novel one-way delay constraints improve the accuracy of router geolocation significantly –Nowadays these measurements are available in a few NGN testbeds ( ETOMIC, new OneLab-2 nodes, etc.) Plans for future extensions The method can be combined with passive techniques Improving latency model

15. Thank you for your attention!