1. A method for optimizing a clustered computing environment, comprising: obtaining performance data from a set of operating devices receiving a workload within the clustered computing environment; developing a set of statistical models from the performance data obtained from the set of operating devices; analyzing each of the set of statistical models to determine a computation time and an accuracy for running the workload using each of the set of statistical models; and selecting an optimal model from the set of statistical models for running the workload based on the analyzing.