Systems and methods for predicting and managing overcapacity in system network

Abstract

Systems and methods are disclosed for determining optimal resource allocation options for network systems. The method includes receiving real-time data associated with a plurality of systems; generating one or more features associated with a first system of the plurality of systems based on at least a portion of the real-time data; generating, via input of one or more features into a machine learning model, a prediction that the first system is approaching a capacity threshold; determining one or more probabilities associated with respective one or more second systems of the plurality of systems, each of the one or more probabilities indicating a preferability of the respective second system for reallocating one or more resources from the first system; and simulating the reallocation across the plurality of systems based on the one or more probabilities associated with the respective one or more second systems.