Data storage systems and methods for optimized scheduling of background management operations

A data storage system, comprising:

• a non-volatile memory device;
• and
• a controller,
• wherein the controller is configured to:
• determine a timeout value of an adaptive timeout parameter of the data storage system, wherein the timeout value of the adaptive timeout parameter relates to a background management operation;
• determine whether a first host operation command is received;
• when the first host operation command is not received:
• determine whether a timer value satisfies the timeout value;
• and
• when the timer value satisfies the timeout value, cause one or more background management operations to be executed at the data storage system,
• wherein the timeout value of the adaptive timeout parameter is a duration of time commencing upon completing a host operation and ending upon initiating a background management operation,
• wherein the timeout value of the adaptive timeout parameter is a standby time period between a host operation and a background management operation,
• wherein the timeout value of the adaptive timeout parameter does not include a host operation time period and does not include a background management operation time period,
• wherein a system power is high when a host operation is executed,
• wherein the system power is low during the duration of time for the timeout value,
• wherein the system power is intermediate when a background management operation is executed,
• wherein the low system power is lower than the high system power,
• wherein the intermediate system power is higher than the low system power and lower than the high system power,
• wherein the controller is configured to determine the timeout value of the adaptive timeout parameter based on one or more criticality levels of the one or more background management operations or a random generated number,
• wherein an increase in the one or more criticality levels of the one or more background management operations decreases the timeout value of the adaptive timeout parameter,.
• wherein the data storage system comprises a machine learned model configured to determine a likelihood of receiving a host operation, configured to determine a plurality of idle time values based on usage history of the data storage system, and configured to specify an accuracy level for each of the plurality of idle time values, and
• wherein the controller is configured to determine the timeout value of the adaptive timeout parameter based on one of the plurality of idle time values having a highest accuracy level.

A data storage system, comprising:

• means for determining a timeout value of an adaptive timeout parameter, wherein the timeout value of the adaptive timeout parameter relates to a background management operation;
• means for determining whether a first host operation command is received;
• in response to determining that the first host operation command is not received:
• means for determining whether a timer value satisfies the timeout value;
• and
• in response to determining that the timer value satisfies the timeout value:
• means for executing one or more background management operations,
• wherein the timeout value of the adaptive timeout parameter is a duration of time commencing upon completing a host operation and ending upon initiating a background management operation,
• wherein the timeout value of the adaptive timeout parameter is a standby time period between a host operation and a background management operation,
• wherein the timeout value of the adaptive timeout parameter does not include a host operation time period and does not include a background management operation time period,
• wherein a system power is high when a host operation is executed,
• wherein the system power is low during the duration of time for the timeout value,
• wherein the system power is intermediate when a background management operation is executed,
• wherein the low system power is lower than the high system power,
• wherein the intermediate system power is higher than the low system power and lower than the high system power,
• wherein the means for determining the timeout value of the adaptive timeout parameter comprises means for determining the timeout value of the adaptive timeout parameter based on one or more criticality levels of the one or more background management operations of the data storage system or a random generated number,
• wherein an increase in the one or more criticality levels of the one or more background management operations decreases the timeout value of the adaptive timeout parameter,
• wherein the data storage system comprises a machine learned model configured to determine a likelihood of receiving a host operation, configured to determine a plurality of idle time values based on usage history of the data storage system, and configured to specify an accuracy level for each of the plurality of idle time values, and
• wherein the means for determining the timeout value of the adaptive timeout parameter comprises means for determining the timeout value of the adaptive timeout parameter based on one of the plurality of idle time values having a highest accuracy level.