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.

    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.

    DATA PROCESSING SYSTEM AND DATA PROCESSING METHOD
    10.
    发明申请
    DATA PROCESSING SYSTEM AND DATA PROCESSING METHOD 审中-公开
    数据处理系统和数据处理方法

    公开(公告)号:US20170017607A1

    公开(公告)日:2017-01-19

    申请号:US15280700

    申请日:2016-09-29

    Abstract: Embodiments of the present invention provide a data processing system and a data processing method. An MMIO address of a data request is obtained, where data stored in a PCIe storage device can be directly obtained from the MMIO address, and according to the MMIO address, a network adapter can directly read the data from the PCIe storage device of the data processing system, and transmit the data to a second data processing system, or directly write the data received from the second data processing system into the PCIe storage device. Therefore, the processing system can implement transmitting data directly from the PCIe storage device to the network adapter without using memory. During data transmission between the two data processing systems, a usage ratio of a resource, such as memory and a CPU, is reduced, and efficiency of data transmission is improved.

    Abstract translation: 本发明的实施例提供了一种数据处理系统和数据处理方法。 获得数据请求的MMIO地址,其中可以从MMIO地址直接获取存储在PCIe存储设备中的数据,并且根据MMIO地址,网络适配器可以直接从PCIe存储设备读取数据 处理系统,并将数据发送到第二数据处理系统,或直接将从第二数据处理系统接收的数据写入PCIe存储设备。 因此,处理系统可以在不使用存储器的情况下实现从PCIe存储设备直接发送数据到网络适配器。 在两个数据处理系统之间的数据传输期间,诸如存储器和CPU之类的资源的使用率被降低,并且提高了数据传输的效率。

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