Virtual server geolocation detection

Abstract

Geographic location of a virtual server is predicted by determining a baseline geographic location of a virtual server of a computing environment, where the determining uses triangulation processing and known locations of multiple reference servers of the computing environment. Further, network communication-related data for communications between the multiple reference servers across a network is obtained, and a machine learning model is generated to predict an actual geographic location of the virtual server using, at least in part, the baseline geographic location of the virtual server and the obtained network communication-related data. The machine learning model is used to predict a current geographic location of the virtual server based, at least in part, on current network communication-related data for communications between the virtual server and one or more of the reference servers.