System and method for integrating machine learning optimizations into a storage system datapath

Abstract

A method, computer program product, and computing system for processing a plurality of input/output (IO) requests on a storage object within a storage system datapath using a plurality of processing cores of a storage system. The plurality of IO requests are sampled from the plurality of processing cores. An IO feature matrix is generated using the periodically sampled IO requests. The IO feature matrix is provided to a machine learning model that is separate from the storage system datapath. A machine learning model inference result is generated by processing the IO feature matrix using the machine learning model. The machine learning model inference result is provided to the storage system datapath. A storage system policy is executed using the machine learning model inference result.