利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

153 条记录 (耗时 0.027 秒)

    MACHINE LEARNING TECHNIQUES TO CREATE AND ADAPT MONITORING PROGRAMS
    2.
    发明公开
    MACHINE LEARNING TECHNIQUES TO CREATE AND ADAPT MONITORING PROGRAMS 审中-公开

    公开(公告)号：US20240154884A1

    公开(公告)日：2024-05-09

    申请号：US18380643

    申请日：2023-10-16

    申请人： VigNet Incorporated

    发明人： Praduman Jain ,  Josh Schilling ,  Dave Klein

    IPC分类号： H04L43/02 ,  G06F11/30 ,  G06F11/34 ,  G06N20/00 ,  H04L43/08

    CPC分类号： H04L43/02 ,  G06F11/3006 ,  G06F11/3409 ,  G06N20/00 ,  H04L43/08

    摘要： Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for machine learning techniques to create and adapt monitoring programs. In some implementations, a system determines first types of data to be collected in a first monitoring program from remote devices over a communication network. The system obtains describing data collection results of multiple other monitoring programs, including information that indicates types of data acquired and monitoring quality achieved. The system selects one or more data collection parameter values for collecting one or more of the first types of data in the first monitoring program based on the data collection parameters used and data collection results achieved by the other monitoring programs. The system adjusts the first monitoring program to collect data from the remote devices according to the selected one or more data collection parameter values.

    METHODS AND APPARATUS FOR ADAPTIVE AND HOLISTIC NETWORK MEASUREMENTS
    7.
    发明公开
    METHODS AND APPARATUS FOR ADAPTIVE AND HOLISTIC NETWORK MEASUREMENTS 审中-公开

    公开(公告)号：US20230388210A1

    公开(公告)日：2023-11-30

    申请号：US18198691

    申请日：2023-05-17

    申请人： Ennetix Inc.

    发明人： Pulak Kumar Chowdhury ,  Biswanath Mukherjee

    IPC分类号： H04L43/10 ,  H04L43/02 ,  H04L43/04

    CPC分类号： H04L43/10 ,  H04L43/02 ,  H04L43/04

    摘要： One embodiment can provide a method and system for monitoring the performance of a network. During operation, the system can collect, from a network device, traffic data associated with a network; analyze the traffic data to discover dependencies among a plurality of applications and services accessed by client devices within the network; and identify, based on the discovered dependencies, a first server providing a first application and at least a second server providing a service that facilitates delivery of the first application. The system can further perform active measurement on the identified first server and at least the second server, thereby facilitating monitoring of performance of the first application.

    Control method, apparatus, and system for collecting traffic statistics
    10.
    发明授权
    Control method, apparatus, and system for collecting traffic statistics 有权

    公开(公告)号：US11716262B2

    公开(公告)日：2023-08-01

    申请号：US17825759

    申请日：2022-05-26

    申请人： Huawei Technologies Co., Ltd.

    发明人： Shunwan Zhuang ,  Peng Zhou ,  Zhenbin Li ,  Hui Ni ,  Nan Wu

    IPC分类号： H04L43/02 ,  H04L43/026 ,  H04L43/062 ,  H04L45/00

    CPC分类号： H04L43/02 ,  H04L43/026 ,  H04L43/062 ,  H04L45/70

    摘要： A control method for collecting traffic statistics includes a control node obtains a statistics collection instruction, where the statistics collection instruction is used to instruct to collect traffic statistics of a target data flow, generates a traffic statistics collection policy according to the statistics collection instruction, where the traffic statistics collection policy includes a matching identifier of the target data flow, a first command, and a second command, and sends the traffic statistics collection policy to a forwarding node. The first command is used to instruct the forwarding node to set a traffic identifier for the target data flow based on the matching identifier, the second command is used to instruct the forwarding node to add traffic generated by a target packet to a traffic statistics collection result corresponding to the traffic identifier which is used to describe the traffic of the target data flow.