Abstract: The Machine-Learning-Based Load Balancing for Cloud-Based Disaster Recovery Apparatuses, Processes and Systems (“MLLB”) transforms workload agent installation request, AWCD training request, NWCD training request, asset workload classification request, node workload classification request, asset virtualization request inputs via MLLB components into workload agent installation response, AWCD training response, NWCD training response, asset workload classification response, node workload classification response, asset virtualization response outputs. An asset virtualization request datastructure is obtained. A set of asset workload classification labels for the asset determined using an asset workload classification datastructure is retrieved. A set of node workload classification labels for each node in a set of available compute nodes determined using a node workload classification datastructure is retrieved. A set of compatible candidate compute nodes is determined using a set of capacity threshold rules.