Data reduction improvement using aggregated machine learning

A system, comprising:

• an aggregating machine learning system;
• and
• computer-executable program logic operating in memory, wherein the computer executable logic program enables execution across one or more processors of:
• receiving, by the aggregating machine learning system from one or more machine learning systems associated with a set of one or more storage arrays, a first set of output parameters indicative of performance metrics for the set of the one or more storage arrays;
• aggregating, by the aggregating machine learning system, the first set of output parameters, resulting in a second set of output parameters;
• and
• sending, from the aggregating machine learning system, at least one member of the second set of output parameters as an input to at least one of the one or more machine learning systems associated with the set of the one or more storage arrays.

A computer program product, comprising:

• a non-transitory computer readable medium encoded with computer executable program code, the code enabling execution across one or more processors of:
• receiving, by an aggregating machine learning system from one or more machine learning systems associated with a set of one or more storage arrays, a first set of output parameters indicative of performance metrics for the set of the one or more storage arrays;
• aggregating, by the aggregating machine learning system, the first set of output parameters, resulting in a second set of output parameters;
• and
• sending, from the aggregating machine learning system, at least one member of the second set of output parameters as an input to at least one of the one or more machine learning systems associated with the set of the one or more storage arrays.