IPSEC Acceleration Method, Apparatus, and System

    公开(公告)号:US20210314214A1

    公开(公告)日:2021-10-07

    申请号:US17351994

    申请日:2021-06-18

    Abstract: An Internet Protocol Security (IPsec) acceleration method includes generating, by an Internet Key Exchange (IKE) device, an IKE link establishment session packet according to an IPSec configuration parameter and a security policy in a security policy database (SPD), sending, by the IKE device, the IKE link establishment session packet to a peer device, establishing a security association (SA) with the peer device, and sending, by the IKE module, the SA to a data forwarding device, where the IKE device and the data forwarding device are discrete devices.

    Accelerator Loading Method, System, and Apparatus

    公开(公告)号:US20190266006A1

    公开(公告)日:2019-08-29

    申请号:US16407934

    申请日:2019-05-09

    Abstract: An accelerator loading apparatus obtains an acceleration requirement, where the acceleration requirement includes an acceleration function and acceleration performance of a to-be-created virtual machine, determines an image that meets the acceleration function and the acceleration performance, and determines a target host in which an available accelerator that can load the image is located, and then sends an image loading command to the target host. The image loading command includes a descriptor of the image, and is used to enable the target host to load the image for the available accelerator. In the method, a target host that can create the virtual machine may be determined based on the acceleration function and the acceleration performance of the to-be-created virtual machine, and an image used for acceleration is loaded to an available accelerator of the target host, to implement dynamic accelerator loading and deployment.

    Data stream classification model updating method and related device

    公开(公告)号:US12294525B2

    公开(公告)日:2025-05-06

    申请号:US17896943

    申请日:2022-08-26

    Abstract: A data stream classification model updating method is disclosed. Determining, based on packet information of a current data stream and a behavior classification model, a first data stream class corresponding to the current data stream; determining, based on a target correspondence and a common feature of the current data stream, a second data stream class corresponding to the current data stream, where the target correspondence is a correspondence between a plurality of common features and a plurality of data stream classes; and if the first data stream class is different from the second data stream class, obtaining correction data corresponding to the current data stream, where the correction data includes the packet information of the current data stream and the second data stream class, and the correction data is used as a training sample to update the behavior classification model.

    Traffic Identification Method and Traffic Identification Device

    公开(公告)号:US20230079312A1

    公开(公告)日:2023-03-16

    申请号:US18050775

    申请日:2022-10-28

    Abstract: Embodiments of this application disclose a traffic identification method and a traffic identification device. The method in embodiments of this application includes: The traffic identification device obtains to-be-analyzed traffic of a target data flow. The traffic identification device obtains arrival time intervals of packets of the to-be-analyzed traffic. The traffic identification device determines a type of the to-be-analyzed traffic based on a distribution feature of probabilities of a part or all of the arrival time intervals.

    METHOD, APPARATUS, AND DEVICE FOR OBTAINING ARTIFICIAL INTELLIGENCE MODEL, AND STORAGE MEDIUM

    公开(公告)号:US20230031387A1

    公开(公告)日:2023-02-02

    申请号:US17957889

    申请日:2022-09-30

    Abstract: A method, an apparatus, and a device for obtaining an artificial intelligence model, and a storage medium are provided. A client receives a first artificial intelligence AI model sent by a service end (303). The first AI model includes a plurality of neurons. The client determines, from the plurality of neurons, a target neuron participating in a current round of training, where the current round of training is a non-first round of training, and a quantity of target neurons is less than a total quantity of the plurality of neurons (304). The client trains the target neuron based on local data (305). The client returns parameter data corresponding to the target neuron to the service end (306). The parameter data corresponding to the target neuron is used by the service end to obtain a converged target AI model.

    Data Stream Classification Model Updating Method and Related Device

    公开(公告)号:US20220407809A1

    公开(公告)日:2022-12-22

    申请号:US17896943

    申请日:2022-08-26

    Abstract: A data stream classification model updating method is disclosed. Determining, based on packet information of a current data stream and a behavior classification model, a first data stream class corresponding to the current data stream; determining, based on a target correspondence and a common feature of the current data stream, a second data stream class corresponding to the current data stream, where the target correspondence is a correspondence between a plurality of common features and a plurality of data stream classes; and if the first data stream class is different from the second data stream class, obtaining correction data corresponding to the current data stream, where the correction data includes the packet information of the current data stream and the second data stream class, and the correction data is used as a training sample to update the behavior classification model.

    Dynamic hardware accelerator selection and loading based on acceleration requirements

    公开(公告)号:US11416267B2

    公开(公告)日:2022-08-16

    申请号:US16407920

    申请日:2019-05-09

    Abstract: An accelerator loading apparatus obtains an acceleration requirement, where the acceleration requirement includes an acceleration function of a to-be-created virtual machine and acceleration performance of the to-be-created virtual machine. The accelerator loading apparatus determines a target accelerator that meets the acceleration function of the to-be-created virtual machine and the acceleration performance of the to-be-created virtual machine. The accelerator loading apparatus determines an image corresponding to the target accelerator, and sends an image loading command to a target host in which the target accelerator is located, where the image loading command is used to enable the target host to load the image for the target accelerator based on the image loading command.

    Accelerator Loading Method, System, and Apparatus

    公开(公告)号:US20220100550A1

    公开(公告)日:2022-03-31

    申请号:US17491885

    申请日:2021-10-01

    Abstract: An accelerator loading apparatus obtains an acceleration requirement, where the acceleration requirement includes an acceleration function and acceleration performance of a to-be-created virtual machine, determines an image that meets the acceleration function and the acceleration performance, and determines a target host in which an available accelerator that can load the image is located, and then sends an image loading command to the target host. The image loading command includes a descriptor of the image, and is used to enable the target host to load the image for the available accelerator. In the method, a target host that can create the virtual machine may be determined based on the acceleration function and the acceleration performance of the to-be-created virtual machine, and an image used for acceleration is loaded to an available accelerator of the target host, to implement dynamic accelerator loading and deployment.

    Virtual function driver loading method and server using global and local identifiers corresponding to locations of the virtual functions

    公开(公告)号:US11188347B2

    公开(公告)日:2021-11-30

    申请号:US16010958

    申请日:2018-06-18

    Abstract: A driver loading method and a server, where when receiving a service request, the server determines a first global index and a first global virtual function (VF) identifier corresponding to a first function description of a designated function included in the service request, determines a virtual machine (VM) corresponding to the service request, associates the first global VF identifier with the VM, allocates a first local index on the VM to the designated function, creates a correspondence between the first local index and the first function description, and sends the correspondence to the VM. The VM loads, according to the correspondence, a driver of the designated function for a first VF corresponding to the first global VF identifier. According to the foregoing method, different drivers can be loaded for VFs that have different functions and that are virtualized by a Peripheral Component Interconnect Express (PCIe) device.

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