Data Processing Method and Data Processing Apparatus for Converged System, Device, and System

    公开(公告)号:US20250021261A1

    公开(公告)日:2025-01-16

    申请号:US18902072

    申请日:2024-09-30

    Abstract: A converged system includes a computing node and a storage node. The computing node is connected to the storage node through a network to build a storage-computing decoupled architecture. A storage medium of the computing node and a storage medium of the storage node form a global memory pool through unified addressing, namely, a global storage medium shared by the computing node and the storage node. When a read/write operation is performed in the system, processing request data is obtained, and a memory operation of the processing request data is performed on the global memory pool based on a memory operation instruction.

    Data Processing Method, Apparatus, Device, and System

    公开(公告)号:US20250103390A1

    公开(公告)日:2025-03-27

    申请号:US18971823

    申请日:2024-12-06

    Abstract: A scheduler obtains a to-be-processed job; and controls at least one super node based on a resource requirement of the to-be-processed job to process the to-be-processed job based on a global memory pool of the super node, where the to-be-processed job is a processing request related to a distributed application. In this way, because the global memory pool is a resource that is constructed through unified addressing on storage media of nodes in the super node and that is shared by the nodes in the super node, the nodes in the super node that are coupled using a high-speed interconnection technology share and access the global memory pool to process the to-be-processed job.

    DATA PROCESSING METHOD AND APPARATUS, DEVICE, AND SYSTEM

    公开(公告)号:US20240272818A1

    公开(公告)日:2024-08-15

    申请号:US18642335

    申请日:2024-04-22

    CPC classification number: G06F3/0634 G06F3/0604 G06F3/067

    Abstract: A control device is configured to control a computing device to perform big data distributed processing. The computing device is equipped with storage media in a plurality of deployment modes. The storage media include at least two of a local storage medium in the computing device, a global storage medium formed based on the local storage medium, an extended global storage medium, and an extended local storage medium. The control device obtains a service request for a big data service, determines storage media in at least one deployment mode from the storage media in the plurality of deployment modes, sends a control indication to the computing device, to indicate the computing device to execute a map (map) task in big data distributed processing on service data included in the service request, and stores obtained intermediate data in the storage media in the at least one deployment mode.

    MEMORY EXPANSION METHOD AND RELATED DEVICE
    5.
    发明公开

    公开(公告)号:US20240012750A1

    公开(公告)日:2024-01-11

    申请号:US18473314

    申请日:2023-09-25

    CPC classification number: G06F12/023 G06F2212/154 G06F2212/1024

    Abstract: In a memory expansion method, a first network device generates a memory topology based on memory requirement information of a target application and usage of a memory resource in a first memory pool, wherein the first memory pool is a logical memory comprising memory resources provided by a plurality of network devices, and the memory topology indicates capacities of different types of memory resources in one or more network devices that need to be occupied by the target application. The network device then establishes a second memory pool in the first memory pool based on the memory topology, wherein the second memory pool comprises a memory resource that is allowed to be used by the target application.

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