Data placement and recovery technology for individually controlling a storage device includes a data management method that may achieve a power saving effect by distributing files between a portion of storage devices, for example, between storage devices included in a higher group and by limiting dependence according to a change in a state of the storage devices to be applied to a portion of storage devices to which a file distribution is performed.

A node interconnection apparatus includes a computing node, a resource control node, and a device interconnection interface connecting the computing node and the resource control node. Each of the computing node and the resource control node includes a processing unit and a storage unit, and the resource control node further includes a resource interface for connecting with a network storage device. The resource control node manages a storage resource of the network storage device, and when the computing node needs to start up, the resource control node obtains operating system startup information from the network storage device and provides the operating system startup information to the computing node. The computing node can start up without the need for storing startup information locally.

A node interconnection apparatus includes a computing node, a resource control node, and a device interconnection interface connecting the computing node and the resource control node. Each of the computing node and the resource control node includes a processing unit and a storage unit, and the resource control node further includes a resource interface for connecting with a network storage device. The resource control node manages a storage resource of the network storage device, and when the computing node needs to start up, the resource control node obtains operating system startup information from the network storage device and provides the operating system startup information to the computing node. The computing node can start up without the need for storing startup information locally.

A data storage device including, in one implementation, a non-volatile memory device including a memory block that includes a plurality of memory dies and a controller that is coupled to the non-volatile memory device and that allocates power to non-memory components based on a determined usage of the memory dies. The controller is configured to monitor a utilization of the plurality of memory dies, determine a utilization state of the plurality of memory dies, and calculate an amount of available power allocated to the plurality of memory dies in response to determining that the plurality of memory dies are in a low utilization state. The controller is also configured to determine whether the amount of available power is above a predetermined threshold, and reallocate the available power to one or more components within the data storage device in response to determining that the amount of available power is above the predetermined threshold.

To provide more uniform performance levels for solid state drive (SSDs), the static power level used by an SSD in an idle state is measured and used to determine a static power offset for each of the drives. The static power offset is set as a parameter for the SSD and used to offset a received power supply level for use on the drive. For a data storage system of multiple SSDs, a common scaling factor can be used to set the degree to which the static power offset is implemented, allowing for a choice between uniformity of power and uniformity of performance for the SSDs of a data storage system.

To provide more uniform performance levels for solid state drive (SSDs), the static power level used by an SSD in an idle state is measured and used to determine a static power offset for each of the drives. The static power offset is set as a parameter for the SSD and used to offset a received power supply level for use on the drive. For a data storage system of multiple SSDs, a common scaling factor can be used to set the degree to which the static power offset is implemented, allowing for a choice between uniformity of power and uniformity of performance for the SSDs of a data storage system.

Aspects of a storage device are provided that apply history-based prediction modeling in advanced thermal throttling. Initially, a controller determines a temperature prediction based one or more thermal mitigation parameters using a history-based prediction model. Subsequently, the controller determines whether the temperature prediction indicates that an actual temperature of the memory is expected to meet a thermal throttling threshold of a plurality of thermal throttling thresholds. The controller then transitions into a thermal power state of a plurality of thermal power states when the temperature prediction indicates that the actual temperature of the memory is expected to meet the thermal throttling threshold. The controller applies a thermal mitigation configuration associated with the thermal power state and determines that the temperature of the memory has reached a thermal equilibrium based on the thermal mitigation configuration. Storage device performance is thus improved through history-based prediction modeling without compromising data integrity.

Aspects of a storage device are provided that apply history-based prediction modeling in advanced thermal throttling. Initially, a controller determines a temperature prediction based one or more thermal mitigation parameters using a history-based prediction model. Subsequently, the controller determines whether the temperature prediction indicates that an actual temperature of the memory is expected to meet a thermal throttling threshold of a plurality of thermal throttling thresholds. The controller then transitions into a thermal power state of a plurality of thermal power states when the temperature prediction indicates that the actual temperature of the memory is expected to meet the thermal throttling threshold. The controller applies a thermal mitigation configuration associated with the thermal power state and determines that the temperature of the memory has reached a thermal equilibrium based on the thermal mitigation configuration. Storage device performance is thus improved through history-based prediction modeling without compromising data integrity.

Aspects of a storage device are provided that apply history-based prediction modeling in advanced thermal throttling. Initially, a controller determines a temperature prediction based one or more thermal mitigation parameters using a history-based prediction model. Subsequently, the controller determines whether the temperature prediction indicates that an actual temperature of the memory is expected to meet a thermal throttling threshold of a plurality of thermal throttling thresholds. The controller then transitions into a thermal power state of a plurality of thermal power states when the temperature prediction indicates that the actual temperature of the memory is expected to meet the thermal throttling threshold. The controller applies a thermal mitigation configuration associated with the thermal power state and determines that the temperature of the memory has reached a thermal equilibrium based on the thermal mitigation configuration. Storage device performance is thus improved through history-based prediction modeling without compromising data integrity.

Aspects of a storage device are provided that apply history-based prediction modeling in advanced thermal throttling. Initially, a controller determines a temperature prediction based one or more thermal mitigation parameters using a history-based prediction model. Subsequently, the controller determines whether the temperature prediction indicates that an actual temperature of the memory is expected to meet a thermal throttling threshold of a plurality of thermal throttling thresholds. The controller then transitions into a thermal power state of a plurality of thermal power states when the temperature prediction indicates that the actual temperature of the memory is expected to meet the thermal throttling threshold. The controller applies a thermal mitigation configuration associated with the thermal power state and determines that the temperature of the memory has reached a thermal equilibrium based on the thermal mitigation configuration. Storage device performance is thus improved through history-based prediction modeling without compromising data integrity.