The applications will benefit from or be enabled by knowing the geographical locations or geolocations, of Internet hosts. Such locality-aware applications include local weather forecast, the choice of language to display on web pages, targeted advertisement, page hit account in different places, restricted content delivery according to local policies, etc. Locality-aware peer selection will also help P2P applications in bringing better user experience as well as reducing networking traffic. Traditional IP-geolocation mapping schemes, are primarily delay-measurement based. There are a number of landmarks with known geolocations. The delays from a targeted client to the landmarks are measured, and the targeted client is mapped to a geolocation inferred from the measured delays. Most of the schemes are based on the assumption of a linear correlation between networking delay and the physical distance between targeted client and landmark. The strong correlation has been verified in some regions of the Internet, such as North America and Western Europe. But as pointed out in the literature, the Internet connectivity around the world is very complex, and such strong correlation may not hold for the Internet everywhere. The linearity between the delay and distance in this region of Internet is positive but very weak. With high probability the shortest delay comes from the closest distance, and we call this phenomenon the “closest-shortest” rule. a simple yet novel IP-geolocation mapping scheme for moderately connected Internet regions, called GeoGet. In GeoGet, map the targeted client to the geolocation of the landmark that has the shortest delay. The traditional IP-Geolocation mapping schemes cannot work well for moderately connected Internet regions, since the linear delay-distance correlation is weak in this kind of Internet regions