Mapping of Large Internet Regions using IP- Geo Location Scheme

Abstract

The Global Positioning System plays a vital role in mapping any part or any place in the world. In spite of these services there is flaws, in which some of the locations are not identified which are moderately connected to the spatial regions. Know geographical and locations becoming necessity more than facility nowadays. Most IP-geolocation mapping schemes take delay-measurement approach, based on the assumption of a strong correlation between networking delay and geographical distance between the targeted client and the landmarks. In this paper, however, we investigate large region of moderately connected Internet and find the delay-distance correlation is weak. But we discover a probable rule—with high probability the shortest delay comes from the closest distance. Based on closest-shortest rule, we develop a simple and novel IP-geo location mapping scheme for moderately connected Internet regions, called Geo Get. In Geo Get, we take a large number of web servers as passive landmarks and map a targeted client to the geo location of the landmark that has the shortest delay. We further use JavaScript at targeted clients to generate HTTP/Get probing for delay measurement. To control the measurement cost, we adopt a multistep probing method to refine the geo location of a targeted client, finally to city level. The evaluation results show that when probing about 100 landmarks, Geo Get correctly maps. The evaluation results show that when probing about landmarks, Geo Get correctly maps 35.4 percent clients to city level, which outperforms current schemes such as Geo Lim and Geo Ping by 270 and 239 percent, respectively, and the median error distance in Geo Get is around 120 km, outperforming Geo Lim and Geo Ping by 37 and 70 percent, respectively.