Abstract: Systems and methods are disclosed for performing data maintenance and/or other data operations within a data storage device. A data storage device is disclosed including a device controller, non-volatile data storage, an interface for receiving data storage commands from a host system, a framework including a memory for storing xenocode code received from the host system, and a processor for executing the xenocode. The device controller is configured to write user data received from the host system to a first partition of the non-volatile data storage in response to a storage command received via the interface from the host system. The xenocode, when executed, causes the processor to read the user data from the first partition of the non-volatile data storage, perform data operations on the read user data, and write results associated with the data operations in a second partition of the non-volatile data storage.

Abstract: Disclosed embodiments are directed to systems and methods for improving garbage collection and wear leveling performance in data storage systems. The embodiments can improve the efficiency of static wear leveling by picking the best candidate block for static wear leveling and/or postponing static wear leveling on certain candidate blocks. In one embodiment, one or more source blocks for a static wear leveling operation are selected based at least on whether the one or more blocks have a low P/E count and contain static data, such as data that has been garbage collected.

Abstract: Disclosed embodiments are directed to systems and methods for assigning and selecting memory units for internal memory operations in data storage systems. The embodiments can improve the efficiency of garbage collection operations by directing dynamic data into memory units with a relatively lower P/E count, directing static and system data into memory units with a relatively higher P/E count, and not mixing static and dynamic data by packing static data into separate memory units from dynamic data. In one embodiment, after completion of garbage collection of blocks, the blocks are each assigned to one of a cool down list and an available memory unit list based on a size limit of the cool down list and a number of program-erase (P/E) operations performed on each block. The blocks are subsequently selected from the lists for write operations according to whether write data includes static or dynamic data.

Abstract: Disclosed embodiments are directed to systems and methods for assigning and selecting memory units for internal memory operations in data storage systems. The embodiments can improve the efficiency of garbage collection operations by directing dynamic data into memory units with a relatively lower P/E count, directing static and system data into memory units with a relatively higher P/E count, and not mixing static and dynamic data by packing static data into separate memory units from dynamic data. In one embodiment, after completion of garbage collection of blocks, the blocks are each assigned to one of a cool down list and an available memory unit list based on a size limit of the cool down list and a number of program-erase (P/E) operations performed on each block. The blocks are subsequently selected from the lists for write operations according to whether write data includes static or dynamic data.

Abstract: A data storage device includes: a controller; an engine for performing at least one of encryption and decryption; and a logic circuit. In response to receiving a memory access command, the controller controls the logic circuit to generate an initialization vector based on initialization information in a first portion of the received command, selects a key from a plurality of keys based on key information in a second portion of the command, and controls the engine to perform at least one of encrypting and decrypting plain text data specified by the received command using the initialization vector and the selected key.

Abstract: Disclosed embodiments are directed to systems and methods for assigning and selecting memory units for internal memory operations in data storage systems. The embodiments can improve the efficiency of garbage collection operations by directing dynamic data into memory units with a relatively lower P/E count, directing static and system data into memory units with a relatively higher P/E count, and not mixing static and dynamic data by packing static data into separate memory units from dynamic data. In one embodiment, after completion of garbage collection of blocks, the blocks are each assigned to one of a cool down list and an available memory unit list based on a size limit of the cool down list and a number of program-erase (P/E) operations performed on each block. The blocks are subsequently selected from the lists for write operations according to whether write data includes static or dynamic data.

Abstract: Disclosed herein are data storage device embodiments for accelerating database operations and associated methods. In one embodiment, the data storage device includes a controller; an array of one or more solid-state memory storage devices; a first memory for storing processor executable instructions associated with database operations; and a second memory for storing data related to the database operations; wherein the controller is configured to execute the instructions to: cause data to be read from the solid-state memory storage devices into the second memory; determine whether the data match a query specified by the instructions; and perform a database operation based on the query match determination.

Abstract: Disclosed herein are data storage device embodiments for accelerating database operations and associated methods. In one embodiment, the data storage device includes a controller; an array of one or more solid-state memory storage devices; a first memory for storing processor executable instructions associated with database operations; and a second memory for storing data related to the database operations; wherein the controller is configured to execute the instructions to: cause data to be read from the solid-state memory storage devices into the second memory; determine whether the data match a query specified by the instructions; and perform a database operation based on the query match determination.

Abstract: Systems and methods are disclosed for encrypting and/or decrypting data in a data storage environment. A data storage device controller is configured to extract parameters from host memory access commands and use key selection circuitry to select an encryption model based on the parameters. Key selection is determined by the selected encryption model.

Abstract: Disclosed herein are data storage device embodiments for accelerating database operations and associated methods. In one embodiment, the data storage device includes a controller; an array of one or more solid-state memory storage devices; a first memory for storing processor executable instructions associated with database operations; and a second memory for storing data related to the database operations; wherein the controller is configured to execute the instructions to: cause data to be read from the solid-state memory storage devices into the second memory; determine whether the data match a query specified by the instructions; and perform a database operation based on the query match determination.

Abstract: A secure data storage system includes a mechanism that can be activated to inhibit access to stored data. In one embodiment, access to stored data can be prevented without having to erase or modify such data. An encryption key, or data used to generate the encryption key, is stored in an MRAM module integrated within the data storage system. The data storage system uses the encryption key to encrypt data received from a host system, and to decrypt the encrypted data when it is subsequently read by a host system. To render the stored data inaccessible, an operator (or an automated process) can expose the MRAM module to a magnetic field of sufficient strength to erase key data therefrom.