COMPUTING TASK ALLOCATION FOR COMPLEX MULTI-TASK PROCESSES

Various embodiments of the present disclosure provide multi-task process orchestration techniques for efficiently allocating computing tasks across multiple disparate computing resources. The orchestration techniques include leveraging an optimization model to generate an optimal processing decision for an individual computing task of a multi-task process. The optimal processing decision is based on the individual computing task and a plurality of processing environments for the multi-task process. The plurality of processing environments includes a local processing environment and a remote processing environment and the optimal processing decision identifies the local processing environment or the remote processing environment as an optimal processing environment for the individual computing task. The performance of the individual computing task is initiated at one of the local or remote processing environments based on the optimal processing decision.