Using a machine learning module to select a priority queue from which to process an input/output (I/O) request

A system for selecting one of a plurality queues having Input/Output (I/O) requests for a storage to process, comprising:

• a processor;
• and
• a computer readable storage medium having computer readable program code embodied therein that when executed performs operations, the operations comprising:
• providing at least one machine learning module that receives as input I/O statistics for the queues based on I/O activity at the queues and produces output indicating which queue to select;
• providing the output to use to select a queue of the queues from which to service an I/O request from the selected queue;
• determining an adjusted output for at least one of the queues based on a desired ratio of response times between queues;
• retraining the at least one machine learning module with the input I/O statistics to produce the adjusted output for the at least one of the queues;
• and
• using the retrained at least one machine learning module to select one of the queues from which to process an I/O request.

A method for selecting one of a plurality queues having Input/Output (I/O) requests for a storage to process, comprising:

• providing at least one machine learning module that receives as input I/O statistics for the queues based on I/O activity at the queues and produces output indicating which queue to select;
• providing the output to use to select a queue of the queues from which to service an I/O request from the selected queue;
• determining an adjusted output for at least one of the queues based on a desired ratio of response times between queues;
• retraining the at least one machine learning module with the input I/O statistics to produce the adjusted output for the at least one of the queues;
• and
• using the retrained at least one machine learning module to select one of the queues from which to process an I/O request.