Sampling frequency recommendation method, apparatus and device, and storage medium

    公开(公告)号:US11336540B2

    公开(公告)日:2022-05-17

    申请号:US16868699

    申请日:2020-05-07

    Abstract: A sampling frequency recommendation method, apparatus, and device, and a storage medium relating to the field of communications technologies are disclosed. The sampling frequency recommendation method includes: obtaining a network key performance indicator of a to-be-analyzed data stream; sampling the network key performance indicator based on a plurality of different sampling frequencies to obtain an experience quality sequence corresponding to each sampling frequency, where the plurality of different sampling frequencies include one standard sampling frequency and at least two to-be-tested sampling frequencies, and the standard sampling frequency is greater than each to-be-tested sampling frequency; and determining a matching degree between an experience quality sequence corresponding to each to-be-tested sampling frequency and a standard experience quality sequence, and determining a recommended sampling frequency based on the matching degree between the experience quality sequence corresponding to each to-be-tested sampling frequency and the standard experience quality sequence.

    IMAGING APPARATUS AND IMAGING METHOD
    22.
    发明申请

    公开(公告)号:US20190199952A1

    公开(公告)日:2019-06-27

    申请号:US16328183

    申请日:2016-08-26

    Abstract: Image sensor having multiple pixels; a number of phase pixels which are included in the multiple pixels and which output a first signal indicating intensity of light; a first adjustment portion conducting gain adjustment on the number of phase pixels in reference to the first signal; an auto-focus portion adjusting a focal point of the image in reference to a second signal output from the number of phase pixels after the gain adjustment; a compensation portion generating and outputting a compensation signal indicating intensity of light received by the number of phase pixels in reference to signals output from the multiple pixels; a second adjustment portion determining exposure and gain for taking the image in reference to signals output from the multiple pixels and applying the exposure and the gain to the multiple pixels; and an image processing portion inputting both the compensation signal and signals and generating image data.

    Method and device for data flow migration during virtual machine migration

    公开(公告)号:US10055246B2

    公开(公告)日:2018-08-21

    申请号:US15279993

    申请日:2016-09-29

    CPC classification number: G06F9/45558 G06F2009/4557

    Abstract: A data flow migration method and device are disclosed. When migration between a source virtual machine and a target virtual machine is started, determining a silent time used for processing data flow migration; and receiving, within the silent time, a data flow packet sent by a switching node; and sending the data flow packet to the target virtual machine according to the data flow packet and a data flow migration policy. In this way, the silent time is used, a newly arrived data flow is redirected, and the newly arrived data flow is directly sent to the target virtual machine according to the data flow migration policy, which avoids migration of the newly arrived data flow. Therefore, data flows that arrive at the source virtual machine are on the decrease, and system migration performance is effectively improved.

    PROCESSOR CORE FAULT HANDLING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20250094273A1

    公开(公告)日:2025-03-20

    申请号:US18970444

    申请日:2024-12-05

    Inventor: Jun Wu

    Abstract: A processor core fault handling method and apparatus, a device, and a storage medium, where the method includes: performing fault detection on a plurality of cores of a processor to determine a faulty core as a target core; further, updating, based on a target task executed by the target core, tasks executed by the plurality of cores, to enable a core other than the target core in the plurality of cores to execute the target task; and controlling the core other than the target core in the plurality of cores to execute an updated task, and bringing the target core offline.

    MACHINE LEARNING MODEL TRAINING METHOD, SERVICE DATA PROCESSING METHOD, APPARATUS, AND SYSTEM

    公开(公告)号:US20240394556A1

    公开(公告)日:2024-11-28

    申请号:US18795145

    申请日:2024-08-05

    Abstract: A machine learning model training method, a service data processing method, and an apparatus are provided, which are applied to the artificial intelligence field. In a training phase, a cloud server sends a machine learning submodel to an edge server. The edge server performs federated learning with client devices in a management domain of the edge server based on the obtained machine learning submodel, to obtain a trained machine learning submodel, and sends the trained machine learning submodel to the cloud server. The cloud server fuses obtained different trained machine learning submodels, to obtain a machine learning model. According to this application, training efficiency of the machine learning model can be improved. In an inference phase, the client device processes service data by using the trained machine learning submodel. According to this application, prediction efficiency of the machine learning model can be improved.

    Federated Learning Method and Related Device
    26.
    发明公开

    公开(公告)号:US20240211816A1

    公开(公告)日:2024-06-27

    申请号:US18597011

    申请日:2024-03-06

    CPC classification number: G06N20/20

    Abstract: A method includes a server delivering a random quantization instruction to a plurality of terminals. The plurality of terminals perform random quantization on training update data based on the random quantization instruction and upload, to the server, training update data on which random quantization has been performed. After aggregating the training update data on which random quantization has been performed, the server may eliminate an additional quantization error introduced by random quantization.

    Data Stream Classification Method and Related Device

    公开(公告)号:US20220210082A1

    公开(公告)日:2022-06-30

    申请号:US17695491

    申请日:2022-03-15

    Abstract: A data stream classification method includes obtaining, based on a packet feature of a current data stream and a behavior classification model, at least one first confidence that is of the current data stream and that corresponds to at least one data stream class, where the behavior classification model is based on a plurality of data stream samples; obtaining, based on feature information of the current data stream and a content classification model, at least one second confidence that is of the current data stream and that corresponds to the at least one data stream class, where the content classification model is based on one or more historical data streams; and determining a data stream class of the current data stream based on the at least one first confidence and the at least one second confidence.

    Service deployment method and network functions acceleration platform

    公开(公告)号:US10979293B2

    公开(公告)日:2021-04-13

    申请号:US16697135

    申请日:2019-11-26

    Abstract: A service deployment method and a network functions acceleration platform are provided. The method includes: when an FPGA is powered on, loading, by the FPGA, an FPGA framework file, so that the FPGA includes M partial reconfigurable PR areas, a configuration module, and a data flow forwarding module; when receiving a service configuration instruction, generating, by a physical machine, a VM, and selecting at least one PR area from the M PR areas to establish a correspondence with the VM; performing, by a configuration module, service resource configuration on the selected PR area according to a PR configuration resource, so that the selected PR area has a service processing capability; adding, by the configuration module, a forwarding entry corresponding to the PR area in a forwarding flow table, so that the data flow forwarding module forwards a received network packet to the corresponding PR area.

    Service deployment method and network functions acceleration platform

    公开(公告)号:US10511479B2

    公开(公告)日:2019-12-17

    申请号:US15403798

    申请日:2017-01-11

    Abstract: A service deployment method and a network functions acceleration platform are provided. The method includes: when an FPGA is powered on, loading, by the FPGA, an FPGA framework file, so that the FPGA includes M partial reconfigurable PR areas, a configuration module, and a data flow forwarding module; when receiving a service configuration instruction, generating, by a physical machine, a VM, and selecting at least one PR area from the M PR areas to establish a correspondence with the VM; performing, by a configuration module, service resource configuration on the selected PR area according to a PR configuration resource, so that the selected PR area has a service processing capability; adding, by the configuration module, a forwarding entry corresponding to the PR area in a forwarding flow table, so that the data flow forwarding module forwards a received network packet to the corresponding PR area.

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