Determining an allocation of stage and destage tasks by using a machine learning module

A system for allocating tasks to destaging and staging operations with respect to a storage unit, comprising:

• a processor;
• a cache implemented in at least one memory device;
• a machine learning module;
• and
• a computer readable storage medium having computer readable program code embodied therein that when executed by the processor performs operations, the operations comprising:
• providing storage performance information related to processing of Input/Output (I/O) requests with respect to the storage unit to the machine learning module;
• receiving, from the machine learning module, a computed number of stage tasks and a computed number of destage tasks;
• adjusting a current number of stage tasks allocated to stage tracks from the storage unit to the cache based on the computed number of stage tasks;
• and
• adjusting a current number of destage tasks allocated to destage tracks from the cache to the storage unit based on the computed number of destage tasks.

A method for allocating tasks to stage tracks from a storage unit to a cache and destage tracks from the cache to the storage unit, comprising:

• providing storage performance information related to processing of Input/Output (I/O) requests with respect to the storage unit to a machine learning module;
• receiving, from the machine learning module, a computed number of stage tasks and a computed number of destage tasks;
• adjusting a current number of stage tasks allocated to stage tracks from the storage unit to the cache based on the computed number of stage tasks;
• and
• adjusting a current number of destage tasks allocated to destage tracks from the cache to the storage unit based on the computed number of destage tasks.

A computer program product for allocating tasks for a cache operation for a cache storing tracks from a storage unit, comprising a computer readable storage medium having computer readable program code embodied therein that when executed performs operations, the operations comprising:

• providing storage performance information related to processing of Input/Output (I/O) requests with respect to the storage unit to a machine learning module;
• receiving, from the machine learning module, a computed number of tasks used for the cache operation;
• in response to a task completing the cache operation, determining whether a current number of tasks for the cache operation exceed or is less than the computed number of tasks;
• reusing the task completing the cache operation for a subsequent instance of the cache operation in response to determining that the current number of tasks is less than the computed number of tasks;
• and
• freeing the task completing the cache operation to be available for a first operation type different from a second operation type of the cache operation in response to determining that the current number of tasks exceeds the computed number of tasks.

A system for allocating tasks to destaging and staging operations with respect to a storage unit, comprising:

• a processor;
• a cache implemented in at least one memory device;
• a machine learning module;
• and
• a computer readable storage medium having computer readable program code embodied therein that when executed by the processor performs operations, the operations comprising:
• providing storage performance information related to processing of Input/Output (I/O) requests with respect to the storage unit to a machine learning module;
• receiving, from the machine learning module, a computed number of tasks used for a cache operation;
• in response to a task completing the cache operation, determining whether a current number of tasks for the cache operation exceed or is less than the computed number of tasks;
• reusing the task completing the cache operation for a subsequent instance of the cache operation in response to determining that the current number of tasks is less than the computed number of tasks;
• and
• freeing the task completing the cache operation to be available for a first operation type different from a second operation type of the cache operation in response to determining that the current number of tasks exceeds the computed number of tasks.

A method for allocating tasks to stage tracks from a storage unit to a cache and destage tracks from the cache to the storage unit, comprising:

• providing storage performance information related to processing of Input/Output (I/O) requests with respect to the storage unit to a machine learning module;
• receiving, from the machine learning module, a computed number of tasks used for the cache operation;
• in response to a task completing the cache operation, determining whether a current number of tasks for the cache operation exceed or is less than the computed number of tasks;
• reusing the task completing the cache operation for a subsequent instance of the cache operation in response to determining that the current number of tasks is less than the computed number of tasks;
• and
• freeing the task completing the cache operation to be available for a first operation type different from a second operation type of the cache operation in response to determining that the current number of tasks exceeds the computed number of tasks.