Microsoft patents system to predict and share server resources

1. A method for automated computing resource reallocation in a computing environment executing a plurality of computing workloads, the method comprising: extracting, by a processing system executing a predictive model, a historical dataset from the computing environment for a past timeframe, the historical dataset defining computing resource usage of the computing environment during the past timeframe; calculating, by execution of the predictive model, a peak computing resource usage of the computing environment at a given time based on the historical dataset, wherein the peak computing resource usage represents a predicted peak computing resource usage for a current timeframe; deriving a computing resource request for each computing workload of the plurality of computing workloads to be deployed to the computing environment based on the predicted peak computing resource usage for the current timeframe; generating a computing resource allocation for each computing workload of the plurality of computing workloads to be deployed to the computing environment according to the computing resource request derived for each computing workload of the plurality of computing workloads; assigning, as part of a computing workload deployment, each computing workload of the plurality of computing workloads to the computing environment for execution using the computing resource allocation generated for each computing workload of the plurality of computing workloads; determining, during execution of a first computing workload, that a first resource utilization of the first computing workload within the computing environment is above a resource utilization threshold; determining, during execution of a second computing workload, that a second resource utilization of the second computing workload within the computing environment is below the resource utilization threshold; and reallocating a portion of computing resources from the second computing workload to the first computing workload based on the first resource utilization being above the resource utilization threshold and the second resource utilization being below the resource utilization threshold.