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    ARTIFICIAL INTELLIGENT ENHANCED DATA SAMPLING
    1.
    发明申请
    ARTIFICIAL INTELLIGENT ENHANCED DATA SAMPLING 有权

    公开(公告)号：US20210028969A1

    公开(公告)日：2021-01-28

    申请号：US17067414

    申请日：2020-10-09

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Ming Li ,  Katherine Zhao

    IPC: H04L27/26 ,  H04L12/26 ,  H04L12/931

    Abstract: Monitoring an operational characteristic of a data communication device within a network includes sampling an operational characteristic of the data communication device at a fine-grain sample rate over a first sampling interval to produce fine-grain samples of the operational characteristic of the data communication device, training a machine learning algorithm using the fine-grain samples of the operational characteristic of the data communication device, the fine-grain sample rate, and a coarse-grain sample rate that is less than the fine-grain sample rate, sampling the operational characteristic of the data communication device at the coarse-grain sample rate over a second sampling interval to produce coarse-grain samples of the operational characteristic of the data communication device, and using the machine learning algorithm to process the coarse-grain samples of the operational characteristic of the data communication device to produce accuracy-enhanced samples of the operational characteristic of the data communication device.

    Artificial intelligent enhanced data sampling
    3.
    发明授权
    Artificial intelligent enhanced data sampling 有权

    公开(公告)号：US12184467B2

    公开(公告)日：2024-12-31

    申请号：US18351244

    申请日：2023-07-12

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Ming Li ,  Katherine Zhao

    IPC: H04L27/26 ,  H04L43/022 ,  H04L43/024 ,  H04L43/0864 ,  H04L49/20

    Abstract: Monitoring an operational characteristic of a data communication device within a network includes sampling an operational characteristic of the data communication device at a fine-grain sample rate over a first sampling interval to produce fine-grain samples of the operational characteristic of the data communication device, training a machine learning algorithm using the fine-grain samples of the operational characteristic of the data communication device, the fine-grain sample rate, and a coarse-grain sample rate that is less than the fine-grain sample rate, sampling the operational characteristic of the data communication device at the coarse-grain sample rate over a second sampling interval to produce coarse-grain samples of the operational characteristic of the data communication device, and using the machine learning algorithm to process the coarse-grain samples of the operational characteristic of the data communication device to produce accuracy-enhanced samples of the operational characteristic of the data communication device.

    ARTIFICIAL INTELLIGENT ENHANCED DATA SAMPLING
    5.
    发明公开
    ARTIFICIAL INTELLIGENT ENHANCED DATA SAMPLING 审中-公开

    公开(公告)号：US20230353440A1

    公开(公告)日：2023-11-02

    申请号：US18351244

    申请日：2023-07-12

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Ming Li ,  Katherine Zhao

    IPC: H04L43/024 ,  H04L49/20 ,  H04L27/26 ,  H04L43/0864

    CPC classification number: H04L27/2663 ,  H04L27/2665 ,  H04L43/024 ,  H04L43/0864 ,  H04L49/205

    Abstract: Monitoring an operational characteristic of a data communication device within a network includes sampling an operational characteristic of the data communication device at a fine-grain sample rate over a first sampling interval to produce fine-grain samples of the operational characteristic of the data communication device, training a machine learning algorithm using the fine-grain samples of the operational characteristic of the data communication device, the fine-grain sample rate, and a coarse-grain sample rate that is less than the fine-grain sample rate, sampling the operational characteristic of the data communication device at the coarse-grain sample rate over a second sampling interval to produce coarse-grain samples of the operational characteristic of the data communication device, and using the machine learning algorithm to process the coarse-grain samples of the operational characteristic of the data communication device to produce accuracy-enhanced samples of the operational characteristic of the data communication device.

    MULTI-CLOUD VPC ROUTING AND REGISTRATION
    6.
    发明申请
    MULTI-CLOUD VPC ROUTING AND REGISTRATION 审中-公开

    公开(公告)号：US20200382345A1

    公开(公告)日：2020-12-03

    申请号：US16997549

    申请日：2020-08-19

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Katherine Zhao ,  Linda Dunbar ,  Feng Guo

    IPC: H04L12/46 ,  H04L12/741 ,  H04L12/749 ,  H04L12/715 ,  H04L12/723 ,  H04L29/08

    Abstract: A method for performing virtual private cloud (VPC) routing across multiple public cloud environments. In an embodiment, the method creates a first virtual routing agent (VRA) for a first VPC of a first public cloud. The method sends a registration request to a VRA controller, wherein the registration request comprises a data structure that includes communication parameters of the first VRA. The method receives the communication parameters of other VRAs for other VPCs located in other public cloud environments from the VRA controller. The method uses the communication parameters of the other VRAs for overlay routing of data packets from the first VPC of the first public cloud to other VPCs of other public clouds via the other VRAs of the other VPCs.

    Multi-cloud VPC routing and registration
    8.
    发明授权
    Multi-cloud VPC routing and registration 有权

    公开(公告)号：US11411776B2

    公开(公告)日：2022-08-09

    申请号：US16997549

    申请日：2020-08-19

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Katherine Zhao ,  Linda Dunbar ,  Feng Guo

    IPC: H04L12/46 ,  H04L45/50 ,  H04L45/64 ,  H04L45/741 ,  H04L45/745 ,  H04L67/10 ,  H04L12/741

    Abstract: A method for performing virtual private cloud (VPC) routing across multiple public cloud environments. In an embodiment, the method creates a first virtual routing agent (VRA) for a first VPC of a first public cloud. The method sends a registration request to a VRA controller, wherein the registration request comprises a data structure that includes communication parameters of the first VRA. The method receives the communication parameters of other VRAs for other VPCs located in other public cloud environments from the VRA controller. The method uses the communication parameters of the other VRAs for overlay routing of data packets from the first VPC of the first public cloud to other VPCs of other public clouds via the other VRAs of the other VPCs.

    Artificial intelligent enhanced data sampling
    9.
    发明授权
    Artificial intelligent enhanced data sampling 有权

    公开(公告)号：US11743093B2

    公开(公告)日：2023-08-29

    申请号：US17067414

    申请日：2020-10-09

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Ming Li ,  Katherine Zhao

    IPC: H04L27/26 ,  H04L43/024 ,  H04L43/0864 ,  H04L49/20

    CPC classification number: H04L27/2663 ,  H04L27/2665 ,  H04L43/024 ,  H04L43/0864 ,  H04L49/205

    Abstract: Monitoring an operational characteristic of a data communication device within a network includes sampling an operational characteristic of the data communication device at a fine-grain sample rate over a first sampling interval to produce fine-grain samples of the operational characteristic of the data communication device, training a machine learning algorithm using the fine-grain samples of the operational characteristic of the data communication device, the fine-grain sample rate, and a coarse-grain sample rate that is less than the fine-grain sample rate, sampling the operational characteristic of the data communication device at the coarse-grain sample rate over a second sampling interval to produce coarse-grain samples of the operational characteristic of the data communication device, and using the machine learning algorithm to process the coarse-grain samples of the operational characteristic of the data communication device to produce accuracy-enhanced samples of the operational characteristic of the data communication device.

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