Virtual server geolocation detection

A computer system for facilitating processing within a computing environment by enabling an owner of a virtual server of the computing environment determine a location of the virtual server, the computer system comprising:

• a memory;
• and
• a processing circuit in communication with the memory, wherein the computer system is configured to perform a method, the method comprising:
• determining a baseline geographic location of the virtual server of the computing environment, the determining using triangulation processing and known locations of multiple reference servers of the computing environment,
• wherein the virtual server is configured to be hosted on one of a plurality of host computing systems of the hosting provider, with a current host computing system hosting the virtual server varying over time without notifying the owner of the virtual server;
• obtaining network communication-related data for communications between the multiple reference servers across a network;
• generating a machine learning model to predict for a given time an actual geographic location of the virtual server, the machine learning model being generated using, at least in part, the baseline geographic location of the virtual server and the obtained network communication-related data such that the machine learning model is useable to locate the virtual server at different times as the location of the server varies;
• using the machine learning model to predict for a current time 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;
• and
• providing the current geographic location of the virtual server to the owner of the virtual server.

A computer-implemented method for facilitating processing within a computing environment by enabling an owner of a virtual server of the computing environment determine a location of the virtual server, the computer-implemented method comprising:

• determining a baseline geographic location of the virtual server of the computing environment, the determining using triangulation processing and known locations of multiple reference servers of the computing environment,
• wherein the virtual server is configured to be hosted on one of a plurality of host computing systems of the hosting provider, with a current host computing system hosting the virtual server varying over time without notifying the owner of the virtual server;
• obtaining network communication-related data for communications between the multiple reference servers across a network;
• generating a machine learning model to predict for a given time an actual geographic location of the virtual server, the machine learning model being generated using, at least in part, the baseline geographic location of the virtual server and the obtained network communication-related data such that the machine learning model is useable to locate the virtual server at different times as the location of the server varies;
• using the machine learning model to predict for a current time 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;
• and
• providing the current geographic location of the virtual server to the owner of the virtual server.