PERFORMING REMOTE HIDDEN COMPUTE FUNCTIONS IN ONE OR MORE PROCESSING DEVICES

    公开(公告)号:US20230418959A1

    公开(公告)日:2023-12-28

    申请号:US17846871

    申请日:2022-06-22

    IPC分类号: G06F21/62

    CPC分类号: G06F21/62 G06F2221/2143

    摘要: Apparatus and method for executing hidden computational functions in a distributed data processing environment. In some embodiments, a trust boundary includes a target device such as a storage device, and a source device such as a client device in a computer network. A storage device processor executes a hidden command function (HCF) routine to accumulate HCF output data in a local cache responsive to an HCF command received from the client device over a data interface. The processor further establishes a smaller retention boundary within the trust boundary that includes the storage device and excludes the client device. The HCF output data are stored locally in a non-volatile memory (NVM) of the storage device while not transferring any portion of the HCF output data outside the retention boundary, including to the client device. The HCF routine can update a block-chain ledger or take some other form to provide data security.

    Data storage device with recording surface resolution

    公开(公告)号:US10748582B1

    公开(公告)日:2020-08-18

    申请号:US16450260

    申请日:2019-06-24

    摘要: A data storage device can employ recording surface-level resolution with as part of a computing system where the data storage device has a first recording surface configured with an initial areal density. By monitoring data storage operation of the data storage device with a connected resolution module, a resolution strategy can be generated with the resolution module based on the monitored data storage operation. The initial areal density may then be changed to an altered areal density prescribed by the resolution strategy.

    Performing remote hidden compute functions in one or more processing devices

    公开(公告)号:US12079355B2

    公开(公告)日:2024-09-03

    申请号:US17846871

    申请日:2022-06-22

    IPC分类号: G06F21/62

    CPC分类号: G06F21/62 G06F2221/2143

    摘要: Apparatus and method for executing hidden computational functions in a distributed data processing environment. In some embodiments, a trust boundary includes a target device such as a storage device, and a source device such as a client device in a computer network. A storage device processor executes a hidden command function (HCF) routine to accumulate HCF output data in a local cache responsive to an HCF command received from the client device over a data interface. The processor further establishes a smaller retention boundary within the trust boundary that includes the storage device and excludes the client device. The HCF output data are stored locally in a non-volatile memory (NVM) of the storage device while not transferring any portion of the HCF output data outside the retention boundary, including to the client device. The HCF routine can update a block-chain ledger or take some other form to provide data security.

    DISTRIBUTED DATA STORAGE SYSTEM WITH PEER-TO-PEER OPTIMIZATION

    公开(公告)号:US20230418685A1

    公开(公告)日:2023-12-28

    申请号:US18213692

    申请日:2023-06-23

    IPC分类号: G06F9/50 G06F3/06 G06F21/44

    摘要: Method and apparatus for offloading upstream processing tasks to peer groups of downstream data storage devices. A peer control circuit forms a peer group of storage devices in response to a detected processing bottleneck associated with a network controller. One of the storage devices in the peer group is designated as a primary device, and is responsible for interface communications, for subdividing the processing task for execution by secondary devices in the peer group, and coordinating overall execution. The peer group and the processing task are selected to avoid or minimize the processing bottleneck at the network controller level while maintaining ongoing data transfer performance at the storage device level. A list of available device resources and capabilities may be maintained by the peer control circuit. Offloaded tasks can include data rebuilds, cryptographic functions, new device authentication operations, and the like. Multiple overlapping peer groups can be formed as needed.

    SECURE COMMAND MEMORY BUFFER TRANSFERS IN A LOW TRUST ENVIRONMENT

    公开(公告)号:US20240020050A1

    公开(公告)日:2024-01-18

    申请号:US17864900

    申请日:2022-07-14

    IPC分类号: G06F3/06

    摘要: Apparatus and method for executing controller memory buffer (CMB) based data transfer commands in a distributed data processing environment. In some embodiments, a storage device having a device controller and a main non-volatile memory (NVM) is coupled to a client device via an interface. The client device respectively issues normal data transfer commands and bypass data transfer commands to the storage device. The normal data transfer commands include read and write commands that result in transfer of data between the NVM and the client device using a normal data path through the storage device. The bypass data transfer commands involve an allocated CMB of the storage device directly controlled and accessed by the client device. In this way, write data are directly placed into the CMB for writing to the NVM, and readback data from the NVM are directly recovered from the CMB by the client device.

    TRANSPORT BRIDGE AND PROTOCOL DEVICE FOR EFFICIENT PROCESSING IN A DATA STORAGE ENVIRONMENT

    公开(公告)号:US20230418516A1

    公开(公告)日:2023-12-28

    申请号:US17848151

    申请日:2022-06-23

    IPC分类号: G06F3/06

    摘要: Apparatus and method for servicing data transfer commands in a computer environment using a selected protocol such as NVMe (Non-Volatile Memory Express). In some embodiments, a secure connection is established between a client device and a bridge device across an interface. A controller of the bridge device presents a unitary namespace as an available memory space to the client device. The controller further communicates with a plurality of downstream target devices to allocate individual namespaces within main memory stores of each of the target devices to form a consolidated namespace to support the unitary namespace presented to the controller. In this way, the bridge device can operate as an NVMe controller with respect to the client device for the unitary namespace, and as a virtual client device to each of the target devices which operate as embedded NVMe controllers for the individual namespaces.