Systems and methods described herein synchronize events between various components of storage device during the processing of an exception (i.e., an internal error). The storage device can have a plurality of processors which may each coordinate operations on various domains of storage device processing tasks. An exception occurring in one domain may require input and coordination from other domains within the storage device. Each exception may have a list of predetermined steps needed for completion which are coordinated via a series of sync points placed between exception action clusters which perform a series of specific operations until data or processing from another domain is needed to continue processing. The sync points can be utilized to halt processing in one domain until the other domains are in sync and complete one or more exception action operations. In this way, a streamlined and predictable synchronization between domains may occur during an exception.

To selectively use cost, performance, reliability, and security characteristics of storage devices in an appropriate manner. A storage system has a plurality of volumes of which reliability and security levels differ from one another, and a controller of the storage system determines a reliability requirement and a security requirement of a file based on at least one of a type and a content of the file, determines a volume to store the file based on the determination result, and stores the file in the determined volume.

Methods and apparatus for precise power cycle management in data storage devices are provided. One such apparatus is a data storage device that includes a non-volatile memory (NVM) and a processor coupled to the NVM. In such case, the processor is configured to determine a first peak power for a first power phase, operate the DSD at a first DSD power consumption that is less than the first peak power for the first power phase, determine a second peak power for a second power phase based on a residual power equal to a difference between a preselected average power threshold and the first DSD power consumption, and operate the DSD at a second DSD power consumption that is less than the second peak power for the second power phase.

A data storage device including, in one implementation, a non-volatile memory device having a memory block including a number of memory dies, and a controller coupled to the non-volatile memory device. An activity level of the data storage device is monitored to determine whether the data storage device is in an idle condition based on the monitored activity level. Background operations are performed in response to the data storage device being determined to be in an idle condition Relocation operations are then performed in response to determining that the data storage device remains in the idle condition, wherein the relocation operations are executed in an order based on a priority level associated with each of the relocation operations.

A storage device is provided that conditionally performs read refresh in blocks having higher P/E cycles or older programming times, while refraining from performing read refreshes in blocks having lower P/E cycles or recent programming times. The storage device includes a memory and a controller. The memory includes a block having cells. The controller performs a read refresh on the cells when a number of P/E cycles of the block exceeds an age threshold or after a threshold amount time has elapsed since data was programmed in the block. The controller may also refrain from performing read refreshes on the cells until the number of P/E cycles exceeds the age threshold or until a threshold amount of time has elapsed since the data is programmed. As a result, lower BER may occur due to wider Vt margins, while power and system overhead may be saved.

There is provided a method for managing a solid state storage system with hybrid storage technologies. The method includes monitoring one or more storage request streams to identify operating mode characteristics therein from among a set of possible operating mode characteristics. The set of possible operating mode characteristics correspond to a set of available operating modes of the hybrid storage technologies. The method further includes identifying a current operating mode from among the set of available operating modes responsive to the identified operating mode characteristics. The method also includes predicting a likely future operating mode responsive to variations in workload requirements to generate at least one future operating mode prediction. The method additionally includes controlling at least one of data placement, wear leveling, and garbage collection, responsive to the at least one future operating mode prediction.

Systems and methods for solid-state storage drive-level failure prediction and health metric are described. A plurality of host-write commands are received at a solid-state storage device. A number of drive-writes per day based on the on the plurality of host-write commands is determined. An aggregated amount of degradation to one or more internal non-volatile memory components based on the number of drive-writes per day is determined. Using a machine-learned model, a probability of failure value based on a set of parameter data and the aggregated amount of degradation to the non-volatile memory component is generated. An alert is generated, based on the probability of failure value or degradation threshold.

Devices and techniques for an adjustable watchdog in a memory device are disclosed herein. A memory operation command is received at a first time with a memory device from a host. A reset signal is received, with the memory device from the host, at a second time following the first time. A time interval between the first time and the second time is measured. A delay interval for a timer in the memory device to reset the memory device independently of receiving a further reset signal from the host is established based on the measured time interval.

Technologies for providing advanced management of power usage limits in a disaggregated architecture include a compute device. The compute device includes circuitry configured to execute operations associated with a workload in a disaggregated system. The circuitry is also configured to determine whether a present power usage of the compute device is within a predefined range of a power usage limit assigned to the compute device. Additionally, the circuitry is configured to send, to a device in the disaggregated system and in response to a determination that the present power usage of the present compute device is not within the predefined range of the power usage limit assigned to the present compute device, offer data indicative of an offer to reduce the power usage limit assigned to the present compute device to enable a second power utilization limit of another compute device in the disaggregated system to be increased.

A method and apparatus for enhancing reliability of a data storage device. The storage device controller is configured to convert a typical UBER-type event to an MTBF (FFR) event by converting a data error event into a drive functional failure. In this context, the converted error is not counted as an UBER type event for purposes of determining the reliability of the storage device.