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.

    Physical disk and virtual disk mapping in storage systems

    公开(公告)号:US11416172B2

    公开(公告)日:2022-08-16

    申请号:US16785008

    申请日:2020-02-07

    Abstract: A first storage node communicates with at least one second storage node. A physical disk included in the at least one second storage node is mapped as a virtual disk of the first storage node. The method may include: receiving a first write request, where the first write request carries first to-be-written data; striping the first to-be-written data to obtain striped data, and writing the striped data to a physical disk and/or the virtual disk of the first storage node; and recording a write location of the striped data. For example, the technical solution may be applied to a storage system that includes an NVMe SSD.

    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.

    Intelligent driving method and intelligent driving system

    公开(公告)号:US12179767B2

    公开(公告)日:2024-12-31

    申请号:US18347051

    申请日:2023-07-05

    Abstract: An intelligent driving method comprising: obtaining feature parameters of a vehicle at a current moment and a road attribute of a driving scenario of the vehicle in a preset future time period; comparing the feature parameters at the current moment with feature parameters of a standard scenario in a scenario feature library; comparing the road attribute of the driving scenario of the vehicle in the preset future time period with a road attribute of the standard scenario in the scenario feature library; determining a total similarity of each scenario class to a driving scenario of the vehicle at the current moment based on comparing results; determining, as the driving scenario at the current moment, a first scenario class with a highest total similarity in N scenario classes; and controlling, based on the determining result, the vehicle to perform intelligent driving.

    Data Prefetching Method, Computing Node, and Storage System

    公开(公告)号:US20240264773A1

    公开(公告)日:2024-08-08

    申请号:US18613698

    申请日:2024-03-22

    CPC classification number: G06F3/0659 G06F3/0611 G06F3/067

    Abstract: A data prefetching method includes a computing node obtaining information about accessing a storage node by a first application in a preset time period. The computing node determines information about prefetch data based on the access information. The computing node determines, based on the information about the prefetch data, a cache node prefetching the prefetch data, and generates a prefetch request for prefetching the prefetch data. The computing node sends the prefetch request to the cache node. The cache node performs a prefetching operation on the prefetch data in response to the prefetch request.

    Intelligent Driving Method and Intelligent Driving System

    公开(公告)号:US20210009156A1

    公开(公告)日:2021-01-14

    申请号:US17029561

    申请日:2020-09-23

    Abstract: An intelligent driving method comprising: obtaining feature parameters of a vehicle at a current moment and a road attribute of a driving scenario of the vehicle in a preset future time period; comparing the feature parameters at the current moment with feature parameters of a standard scenario in a scenario feature library; comparing the road attribute of the driving scenario of the vehicle in the preset future time period with a road attribute of the standard scenario in the scenario feature library; determining a total similarity of each scenario class to a driving scenario of the vehicle at the current moment based on comparing results; determining, as the driving scenario at the current moment, a first scenario class with a highest total similarity in N scenario classes; and controlling, based on the determining result, the vehicle to perform intelligent driving.

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