Predictive data pre-fetching in a data storage device

A method, comprising:

• receiving, in a controller of a data storage system, commands from a host system for execution in the data storage system;
• providing, to a predictive model, the commands as input;
• identifying, using the predictive model and based on the commands as input, at least one command for pre-fetching;
• and
• prior to the command being executed in the data storage device,
• retrieving, from non-volatile memory of the data storage media, at least a portion of data to be used in execution of the command;
• and
• storing the portion of data in buffer memory of the data storage system.

A non-transitory computer storage medium storing instructions which, when executed by a computing system, cause the computing system to perform a method, the method comprising:

• receiving latency data of first commands executed in a data storage system;
• identify, from the latency data, second commands causing more than a threshold amount of increase in execution latency of at least one of the first commands;
• and
• training a predictive model using the supervised machine learning technique to reduce differences between the second commands identified using the latency data and third commands identified by the predictive model from the first commands.