13. A method, comprising: identifying, in response to a triggering event associated with a workload of a storage system, a proposed solution comprising one or more actions to be performed; predicting, for the proposed solution, a value of an output metric for the workload using a mapping function for the output metric based on a plurality of input metric values for a foreground workload and a plurality of input metric values for a set of background workloads of the storage system, the mapping function produced using a machine learning algorithm; and generating, by a processor circuit, an evaluation value for the proposed solution based on the predicted value of the output metric.
13. A method, comprising: identifying, in response to a triggering event associated with a workload of a storage system, a proposed solution comprising one or more actions to be performed; predicting, for the proposed solution, a value of an output metric for the workload using a mapping function for the output metric based on a plurality of input metric values for a foreground workload and a plurality of input metric values for a set of background workloads of the storage system, the mapping function produced using a machine learning algorithm; and generating, by a processor circuit, an evaluation value for the proposed solution based on the predicted value of the output metric. 15. The method of claim 13 , comprising implementing the proposed solution by performing the one or more actions.