Architecture for predictive connectivity for cloud-based devices

Abstract

Apparatuses, systems and methods relate generally to cloud-based equipment of a cloud network. In such a system, a network prediction module is configured to use first machine learning to predict network conditions using first historical data to provide predicted network conditions for the cloud network. A dynamic scheduling module in communication with the network prediction module is configured to determine optimal times for operations by the cloud-based equipment based on the predicted network conditions. A predictive load balancing module in communication with the network prediction module is configured to use second machine learning to forecast server loads using second historical data to provide forecasted server loads and to distribute tasks in response to the forecasted server loads to reduce high-load conditions on any single server of servers of the cloud-based equipment.

Dependencies are inferred from the claim text.