A data storage system in which data storage space for storing data storage metadata is selectively allocated from non-volatile data storage devices contained in a first storage enclosure. The first storage enclosure is directly connected to at least one storage processor of the data storage system, and the data storage system further includes at least one secondary storage enclosure that is indirectly connected to the storage processor. Data storage metadata is generated within the data storage system, and the data storage metadata generated within the data storage system is stored into the data storage space that was selectively allocated for storing data storage metadata from the non-volatile data storage devices contained in the first storage enclosure.

A memory system includes a non-volatile memory device and a controller. The non-volatile memory device performs operations in parallel on a plurality of memory blocks. The controller determines, in response to a read request on a plane including a target memory block among the plurality of memory blocks, whether to perform a process for a partial suspension on the operations based on suspension counts of the plurality of memory blocks. The controller controls, when performing a process for the partial suspension, the non-volatile memory device to suspend the operation being performed on the target memory block and to keep performing the operations being performed on other memory blocks among the plurality of memory blocks.

A computer-implemented method, according to one embodiment, includes: processing records by, for each of the records: shearing the key associated with the record from the payload data, normalizing the sheared key, and storing the normalized sheared key in a first target area of memory. A determination is made whether a size of the payload data is outside a first predetermined range. In response to determining that the size of the payload data is outside the first predetermined range, the payload data is stored in a second target area of memory, and a data locator is appended to the normalized sheared key. Furthermore, in response to determining that a storage capacity of the memory is outside a second predetermined range, some of the payload data is transferred to external physical storage. Moreover, an external list is integrated with each of the data locators that correspond to the transferred payload data.

An apparatus comprises at least one processing device. The at least one processing device is configured to detect a write pressure condition by identifying at least a first set of one or more logical storage devices having a first service level objective for which at least one performance metric has a value that exceeds a specified threshold, and responsive to the detected write pressure condition, to identify at least a second set of one or more logical storage devices, having a second service level objective that is lower than the first service level objective, and that are contributing to the detected write pressure condition. The at least one processing device is further configured, for each of the identified logical storage devices of the second set, to provide a write pressure indication to control throttling of write operations directed to that logical storage device of the second set.

A method includes receiving a workload in a multi-tier enterprise storage system. The workload including a database. A processor determines if historical query logs present for the workload. Upon a determination that historical query logs are present for the workload: the processor analyzes a query log of historical queries for the database; an inter- and intra-query weighted column relationship graph is created based on the analyzing; and weights are assigned to the weighted column relationship graph based on an optimization process that maximizes performance for the historical queries in a training window.

Staging data on a storage element integrating fast durable storage and bulk durable storage, including: receiving, at a storage element integrating fast durable storage and bulk durable storage, a data storage operation from a host computer; storing data corresponding to the data storage operation within fast durable storage in accordance with a first data resiliency technique; and responsive to detecting a condition for transferring data between fast durable storage and bulk durable storage, transferring the data from fast durable storage to bulk durable storage in accordance with a second data resiliency technique.

Disclosed embodiments include a method (system and non-transitory computer-readable medium) for backing up updated portions of a plurality files having hierarchical relationships through object storage. In one or more embodiments, a file is segregated into chunks, and objects corresponding to the chunks are generated for storage at an object storage. For a chunk, an object for storing the chunk and additional objects for storing mapping information are generated. The mapping information may include path information identifying a path of the file in a hierarchical structure, a file version list identifying a version of the file, a chunk list describing an association between the file and the chunks, a chunk version list identifying a version of the chunk, etc. When a portion of the file is updated, objects corresponding to the updated portion of the file can be generated, and stored at the object storage.

A storage device is disclosed. The storage device may include storage to store data, which may include a first storage of a first type and a second storage of a second type. The storage device may support a number of device streams, some of which associated with the first storage and some associated with the second storage. The storage device may also include a streaming capabilities analyzer that may inventory the streaming capabilities for the storage device. Finally, the storage device may include a transmitter to transmit the streaming capabilities of the storage device to a storage manager.

A computing system has a first processing device (e.g., CPU, FPGA, or GPU) and memory regions (e.g., in a DRAM device) used by the processing device during normal operation. In one approach, the computing system is configured to: collect data associated with operation of an autonomous vehicle; monitor, by a first processing device, the collected data; and based on the monitoring, determine that an event on the autonomous vehicle has occurred. The computing system is further configured to, in response to determining that the event has occurred, initiate a transfer of data controlled by a second processing device, the transfer including copying data stored in volatile memory of the autonomous vehicle to non-volatile memory of the autonomous vehicle, wherein the second processing device controls copying of the data independently of the first processing device. The computing system is also further configured to, in response to determining that the event has occurred, reduce or terminate power to the first processing device.

A method includes receiving at a storage device a command from a host. When learning is active on the storage device, an initial parameter value of a plurality of parameter values is used for performing a first action of a plurality of actions for the command. The first action is performed using the initial parameter value of the plurality of parameter values for the command The first parameter value is incremented to a next parameter value of the plurality of parameter values for the command for use in reperforming the first action.