Apparatus and method for regulating available storage of a data storage system

A data storage system, comprising:

• one or more controllers configured to cause:
• causing a machine-learned model to be trained or prepared for determining a category for a workload of one or more operations being executed by the data storage system, wherein causing the machine-learned model to be trained or prepared comprises:
• receiving, at the data storage system, an example category for the workload;
• and
• monitoring values of input parameters to the machine-learned model,
• wherein the receiving, at the data storage system, the example category for the workload comprises:
• processing the example category for the workload in a manner to simulate an amount of workload similar in size to an amount that the data storage system processes over its lifetime.

An apparatus, comprising:

• means for causing a machine-learned model to be trained or prepared for determining a category for a workload of one or more operations being executed by a data storage system, wherein the means for causing the machine-learned model to be trained or prepared comprises:
• means for receiving, at the data storage system, an example category for the workload;
• means for monitoring values of input parameters to the machine-learned model;
• and
• means for applying a rank value to one or more of the input parameters,
• wherein:
• the example category for the workload is for being received from a host system;
• the values of input parameters to the machine-learned model are for being transferred to the host system;
• the rank value to the one or more of the input parameters is for being applied by the host system;
• and
• the host system and the data storage system are for being communicably coupled with each other.