Measuring metrics of a computer network

    公开(公告)号:US12126504B2

    公开(公告)日:2024-10-22

    申请号:US18175426

    申请日:2023-02-27

    CPC classification number: H04L43/02

    Abstract: A method of measuring (100) metrics of a computer network, comprising the steps of:



    from a data source collecting (110) sets of data points during a sampling time period, wherein the set of data points constitute a sample, and uploading (120) each sample to a server for further processing (130), wherein from each sample, a fractile information instance is produced (131), wherein the fractile information has a type and each data source is associated (110a) with a fractile information type.

    SERVICE HEALTH ASSESSMENT
    2.
    发明公开

    公开(公告)号:US20240283719A1

    公开(公告)日:2024-08-22

    申请号:US18112416

    申请日:2023-02-21

    Applicant: Kyndryl, Inc.

    CPC classification number: H04L43/0817 H04L43/02

    Abstract: A computer-implemented method, in accordance with one embodiment, includes receiving a taxonomy specifying entities of a business service and levels of said entities. Time series data about the entities is collected and stored. Impactor propagation paths between entities is identified. A territory of a health impact of each entity is also identified. A health score for each of the entities, considering impacts on a health of the entity by at least one other entity, is computed based on the data, the propagation paths, and the territories of the entities. At least one of the health scores is output.

    DETECTING NETWORK CONDITIONS FOR ENTERPRISE USERS

    公开(公告)号:US20240243982A1

    公开(公告)日:2024-07-18

    申请号:US18096340

    申请日:2023-01-12

    Applicant: VMware, Inc.

    CPC classification number: H04L43/04 H04L43/02

    Abstract: Disclosed are various examples for automatically analyzing telemetry data from managed devices in one or more organizations and categorizing devices and/or user accounts as home users, hybrid users, or office users. The categorization can be performed based upon an analysis of a wireless network connection of a client device that is managed by a management service.

    Round-trip packet loss measurement in a packet-switched communication network

    公开(公告)号:US11996997B2

    公开(公告)日:2024-05-28

    申请号:US17779690

    申请日:2020-11-27

    Inventor: Mauro Cociglio

    CPC classification number: H04L43/0829 H04L43/02 H04L43/062 H04L43/0852

    Abstract: In a method for exchanging packets between first and second nodes of a packet-switched network, each packet comprises two fields settable to an idle value or measurement value. The first node transmits to the second node first packets having a filed set to measurement value. Upon reception of each first packet, the second node transmits back to the first node a second packet having a field set to measurement value. Upon reception of each second packet, the first node transmits to the second node a third packet having another field set to measurement value. A packet loss measurement is calculated as a difference between the number of first packets and the number of third packets.

    Time-series telemetry data compression

    公开(公告)号:US11924069B2

    公开(公告)日:2024-03-05

    申请号:US17581208

    申请日:2022-01-21

    Inventor: Ben Fauber

    CPC classification number: H04L43/02 G06F18/20 H03M7/3059 H03M7/70 H04L43/04

    Abstract: A system can identify a first group of time-series telemetry data that represents performance metrics of a computing device, wherein the first group of time-series telemetry data identifies respective first values and corresponding respective first timestamps. The system can create a second group of time-series telemetry data that identifies second timestamps. The system can populate the second group of time-series telemetry data with the respective first values at respective first locations of the second group of time-series telemetry data that correspond to the respective first timestamps of the respective first values. The system can create a tensor that identifies third timestamps. The system can populate the tensor with the respective first values at respective second locations of the tensor that correspond to the respective first timestamps of the respective first values, wherein populating the tensor comprises combining two values of the respective first values.

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