Abstract: Systems, methods, and data storage devices for management of key-value delete operations for namespaces supporting multiple hosts are described. Responsive to a delete command, the key for the deleted key-value pair may be moved to a deleted data structure having a delete order. During garbage collection erase blocks corresponding to the key-value pairs may be invalidated based on the delete order and removed from the deleted data structure.

Abstract: Systems, methods, and data storage devices for host storage command management for dynamically allocated floating namespaces are described. A data storage device may support multiple host namespaces allocated in its non-volatile storage medium and include a floating namespace pool that includes at least some data units from those host namespaces. Host storage commands to be processed using the floating namespace pool may be received and payload sizes may be determined. A next host storage command may be determined based on the relative payload sizes and executed using a data unit from the floating namespace pool, for example, based on allocating virtual command queues to the floating namespace pool and sorting the incoming host storage commands by payload size.

Abstract: Systems, methods, and data storage devices for redundant storage of data across namespaces with dynamic capacity allocation are described. Data storage devices may support multiple host connections to multiple namespaces allocated in their non-volatile storage medium according to a storage protocol, such as non-volatile memory express (NVMe). Each namespace may initially be allocated with an allocated capacity. For at least some of the namespaces, a portion of the allocated capacity may be allocated to a floating namespace pool. A redundant array of independent disks (RAID) configuration may be established across the namespaces for redundant storage of host data. When the fill mark for one of the namespaces reaches a flexible capacity threshold, capacity from the floating namespace pool may be dynamically allocated to that namespace and removed from the floating namespace pool.

Abstract: Dynamically determining respective threshold temperatures for data storage devices (DSDs) in a data storage system (DSS) slot involves determining a marginal temperature of a DSD (TMd) based on the difference between a current threshold temperature of a corresponding DSS slot (TTe) and a current temperature value of the DSD (TCd), and raising the current TTe to an updated TTe accordingly, thereby effectively permitting the DSD to operate at temperatures up to the updated TTe. Updating TTe may come after first determining whether the TMd is greater than a lower limit and/or less than an upper limit, both of which are based on an inherent threshold temperature value of the DSD (TTd). This approach can be applied to other DSDs housed in the same DSS enclosure, enabling varying each respective DSD operating temperature, in contrast to using a fixed operating temperature range for the entire enclosure.

Abstract: Systems, methods, and data storage devices for dynamic allocation of capacity to namespaces are described. A data storage device may support multiple host connections to multiple namespaces allocated in its non-volatile storage medium according to a storage protocol, such as non-volatile memory express (NVMe). Each namespace may initially be allocated with an allocated capacity. For at least some of the namespaces, a portion of the allocated capacity may be allocated to a floating namespace pool. When the fill mark for one of the namespaces reaches a flexible capacity threshold, capacity from the floating namespace pool may be dynamically allocated to that namespace and removed from the floating namespace pool.

Abstract: Dynamically determining respective threshold temperatures for data storage devices (DSDs) in a data storage system (DSS) slot involves determining a marginal temperature of a DSD (TMd) based on the difference between a current threshold temperature of a corresponding DSS slot (TTe) and a current temperature value of the DSD (TCd), and raising the current TTe to an updated TTe accordingly, thereby effectively permitting the DSD to operate at temperatures up to the updated TTe. Updating TTe may come after first determining whether the TMd is greater than a lower limit and/or less than an upper limit, both of which are based on an inherent threshold temperature value of the DSD (TTd). This approach can be applied to other DSDs housed in the same DSS enclosure, enabling varying each respective DSD operating temperature, in contrast to using a fixed operating temperature range for the entire enclosure.

Abstract: Disclosed are systems and methods for proactively, instead of reactively, biasing parameters of a data storage device based on a spatial position in a storage enclosure. The method includes obtaining a spatial position for the data storage device in a storage enclosure. The method also includes proactively biasing one or more parameters for controlling the device memory, based on the spatial position. The spatial position has a corresponding thermal profile that is predetermined.

Abstract: Disclosed are systems and methods for proactively, instead of reactively, biasing parameters of a data storage device based on a spatial position in a storage enclosure. The method includes obtaining a spatial position for the data storage device in a storage enclosure. The method also includes proactively biasing one or more parameters for controlling the device memory, based on the spatial position. The spatial position has a corresponding thermal profile that is predetermined.