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    Automatic model-based computing environment performance monitoring
    1.
    发明授权
    Automatic model-based computing environment performance monitoring 有权

    公开(公告)号：US10452467B2

    公开(公告)日：2019-10-22

    申请号：US15009494

    申请日：2016-01-28

    Applicant: Intel Corporation

    Inventor： Giovani Estrada ,  Victor Bayon-Molino

    IPC: G06F11/07 ,  G06F11/34 ,  G05B13/04 ,  G06F11/00

    Abstract: Various systems and methods for implementing automatic model generation for performance monitoring are described herein. A performance monitoring system includes a model manager to: identify a performance model that predicts performance of an operational node, the performance model based on telemetry data from the operational node; and implement an automatic verification operation to analyze the performance model and revise the performance model when the performance model is no longer valid; and an event processor to: initiate a remedial action at the operational node when the performance model indicates an alert state.

    Telemetry adaptation
    3.
    发明授权
    Telemetry adaptation 有权

    公开(公告)号：US09843474B2

    公开(公告)日：2017-12-12

    申请号：US14998176

    申请日：2015-12-23

    Applicant: Intel Corporation

    Inventor： Giovani Estrada ,  Victor Bayon-Molino ,  Michael J. McGrath ,  Joseph Butler

    IPC: H04L12/24

    CPC classification number: H04L41/0695 ,  H04L41/046 ,  H04L41/0631 ,  H04L41/0893 ,  H04L41/5009

    Abstract: Methods, systems, and storage media for telemetry adaptation are disclosed herein. In an embodiment, a networking device may include a data collector agent module to receive measurement data from measurement sources according to an initial telemetry policy and to provide the measurement data to the one or more servers of the monitoring system. The networking device may include an anomaly detection module to receive measurement data from the data collector agent module, to detect an anomaly in the measurement data, and to provide an indication of the anomaly to the data collector agent module for the data collector agent module to provide a first modified telemetry policy for the measurement sources.

    Methods and apparatus to improve accuracy of edge and/or a fog-based classification
    4.
    发明授权
    Methods and apparatus to improve accuracy of edge and/or a fog-based classification 有权

    公开(公告)号：US11556748B2

    公开(公告)日：2023-01-17

    申请号：US16147043

    申请日：2018-09-28

    Applicant: Intel Corporation

    Inventor： Keith Ellis ,  Giovani Estrada ,  Michael Nolan ,  Niall Cahill ,  David Coates

    IPC: G06K9/62 ,  G06N5/02 ,  G06K9/00 ,  G06N20/20

    Abstract: Methods, apparatus, systems and articles of manufacture to improve accuracy of a fog/edge-based classifier system are disclosed. An example apparatus includes a transducer to mounted on a tracked object, the transducer to generate data samples corresponding to the tracked object; a discriminator to: generate a first classification using a first model based on a first calculated feature of the first data samples from the transducer, the first model corresponding to calculated features determined from second data samples, the second data samples obtained prior to the first data samples; generate an offset based on a difference between a first model feature the first model and a second model feature of a second model, the second model being different than the first model; and adjust the first calculated feature using the offset to generate an adjusted feature; a pattern matching engine to generate a second classification using vectors corresponding to the second model based on the adjusted feature; and a counter to, when the first classification matches the second classification, increment a count.

    Telemetry adaptation
    5.
    发明授权
    Telemetry adaptation 有权

    公开(公告)号：US10666505B2

    公开(公告)日：2020-05-26

    申请号：US15797949

    申请日：2017-10-30

    Applicant: Intel Corporation

    Inventor： Giovani Estrada ,  Victor Bayon-Molino ,  Michael J. McGrath ,  Joseph Butler

    IPC: H04L12/24 ,  G06F8/61

    Abstract: Methods, systems, and storage media for telemetry adaptation are disclosed herein. In an embodiment, a networking device may include a data collector agent module to receive measurement data from measurement sources according to an initial telemetry policy and to provide the measurement data to the one or more servers of the monitoring system. The networking device may include an anomaly detection module to receive measurement data from the data collector agent module, to detect an anomaly in the measurement data, and to provide an indication of the anomaly to the data collector agent module for the data collector agent module to provide a first modified telemetry policy for the measurement sources.

    Telemetry adaptation
    8.
    发明授权
    Telemetry adaptation 有权

    公开(公告)号：US11252021B2

    公开(公告)日：2022-02-15

    申请号：US16870369

    申请日：2020-05-08

    Applicant: Intel Corporation

    Inventor： Giovani Estrada ,  Victor Bayon-Molino ,  Michael J. McGrath ,  Joseph Butler

    IPC: H04L12/26 ,  H04L29/08 ,  H04L12/24 ,  H04L41/0695 ,  H04L41/0631 ,  H04L41/0893 ,  G06F11/34 ,  H04L41/5009 ,  H04L41/046

    Abstract: Methods, systems, and storage media for telemetry adaptation are disclosed herein. In an embodiment, a networking device may include a data collector agent module to receive measurement data from measurement sources according to an initial telemetry policy and to provide the measurement data to the one or more servers of the monitoring system. The networking device may include an anomaly detection module to receive measurement data from the data collector agent module, to detect an anomaly in the measurement data, and to provide an indication of the anomaly to the data collector agent module for the data collector agent module to provide a first modified telemetry policy for the measurement sources.

    Methods and apparatus for conditional classifier chaining in a constrained machine learning environment
    9.
    发明授权
    Methods and apparatus for conditional classifier chaining in a constrained machine learning environment 有权

    公开(公告)号：US10863329B2

    公开(公告)日：2020-12-08

    申请号：US16226131

    申请日：2018-12-19

    Applicant: Intel Corporation

    Inventor： Keith A. Ellis ,  Giovani Estrada ,  David Coates ,  Michael Nolan

    IPC: H04L29/08 ,  H04W4/38 ,  G06F13/16 ,  G06K9/62 ,  G06N20/00 ,  H04L12/24

    Abstract: Methods, apparatus, systems, and articles of manufacture for conditional classifier chaining in a constrained machine learning environment are disclosed. An example apparatus includes a classification controller to select a first model to be utilized to classify a first feature identified from sensor data. A memory controller is to copy the first model to a memory. A machine learning processor is to apply the first model to the first feature to create a first classification output, the first classification output indicating an identified class. The classification controller is to, in response to a determination that the first classification output identifies a second model to be used for classification, instruct the memory controller to load the second model into the memory. The machine learning processor is to apply the second model to the second feature to create a second classification output.

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