Systems and Methods for Dynamic Load Distribution in a Multi-Tier Distributed Platform

A system comprising:

• different network locations comprising different sets of servers;
• and
• a controller comprising one or more processors configured to:
• monitor request behavior for different tasks from different network locations controlled by a distributed platform;
• generate at least one predictive model that dynamically changes priority of the different tasks based on the request behavior;
• receive a first request for a particular task from a user equipment (“UE”) at a first time;
• distribute the first request to a first network location of the different network locations that is closest to the UE in response to the predictive model providing a first priority for the particular task at the first time;
• receive a second request for the particular task from the UE at a later second time;
• and
• distribute to the second request to a different second network location of the different network locations, that is one or more network hops further away from the UE than the first network location, in response to the predictive model providing a different second priority for the particular task at the second time.

A non-transitory computer-readable medium, storing a plurality of processor-executable instructions to:

• monitor request behavior for different tasks from different network locations controlled by a distributed platform;
• generate at least one predictive model that dynamically changes priority of the different tasks based on the request behavior;
• receive a first request for a particular task from a user equipment (“UE”) at a first time;
• distribute the first request to a first network location of the different network locations that is closest to the UE in response to the predictive model providing a first priority for the particular task at the first time;
• receive a second request for the particular task from the UE at a later second time;
• and
• distribute to the second request to a different second network location of the different network locations, that is one or more network hops further away from the UE than the first network location, in response to the predictive model providing a different second priority for the particular task at the second time.