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    Computer-readable storage medium, an apparatus and a method to select access layer devices to deliver services to clients in an edge computing system
    1.
    发明授权
    Computer-readable storage medium, an apparatus and a method to select access layer devices to deliver services to clients in an edge computing system 有权

    公开(公告)号：US11218546B2

    公开(公告)日：2022-01-04

    申请号：US16830226

    申请日：2020-03-25

    Applicant: Intel Corporation

    Inventor： Marcin Spoczynski ,  Michael Nolan ,  Keith A. Ellis ,  Radhika Loomba

    IPC: G06F15/173 ,  H04L29/08 ,  G06F17/16

    Abstract: A non-transitory computer-readable storage medium, an apparatus, and a computer-implemented method to select respective physical infrastructure devices of an edge computing system to implement services requested by respective service-requesting clients. The computer-readable storage medium includes computer-readable instructions that, when executed, cause at least one processor to perform operations comprising, for each candidate physical infrastructure device, calculating a utility score corresponding to each of the services requested, wherein: the utility score corresponds to one of each of the respective service-requesting clients or each subgroup of a plurality of subgroups of the respective service-requesting clients. The utility score is based on location-related attributes and resource-related attributes of said each candidate physical infrastructure device, resource-related attributes of said each of the services requested, and location-related attributes and movement-related attributes of one of said each of the respective service-requesting clients or said each subgroup of the plurality of subgroups of the respective service-requesting clients.

    Methods and apparatus to facilitate end-user defined policy management
    2.
    发明授权
    Methods and apparatus to facilitate end-user defined policy management 有权

    公开(公告)号：US10785262B2

    公开(公告)日：2020-09-22

    申请号：US15581827

    申请日：2017-04-28

    Applicant: Intel Corporation

    Inventor： Keith A. Ellis ,  Ronan O'Malley ,  Connor Upton ,  David M. Boundy ,  Hugh Martin Carr

    IPC: H04L29/06 ,  H04W12/08 ,  H04L29/08

    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate end-user defined policy management. An example apparatus includes an edge node interface to detect addition of a networked user device to a service gateway, and to extract publish information from the networked user device. The example apparatus also includes a device context manager to identify tag parameters based on the publish information from the networked user device, and a tag manager to prohibit unauthorized disclosure of the networked user device by setting values of the tag parameters based on a user profile associated with a type of the networked user device.

    Acoustic camera based audio visual scene analysis
    5.
    发明授权
    Acoustic camera based audio visual scene analysis 有权

    公开(公告)号：US09736580B2

    公开(公告)日：2017-08-15

    申请号：US14662880

    申请日：2015-03-19

    Applicant: INTEL CORPORATION

    Inventor： Niall Cahill ,  Hugh M. Carr ,  Mark Y. Kelly ,  Keith Nolan ,  Aurelian V. Lazarut ,  Keith A. Ellis ,  Ronan J. O'Malley

    IPC: H04R5/00 ,  G09F27/00 ,  H04R3/00 ,  G01S3/80 ,  G01S3/801 ,  G01S3/808

    CPC classification number: H04R3/005 ,  G01S3/80 ,  G01S3/801 ,  G01S3/8083

    Abstract: Techniques are disclosed for scene analysis including the use of acoustic imaging and computer audio vision processes for monitoring applications. In some embodiments, an acoustic image device is utilized with a microphone array, image sensor, acoustic image controller, and a controller. In some cases, the controller analyzes at least a portion of the spatial spectrum within the acoustic image data to detect sound variations by identifying regions of pixels having intensities exceeding a particular threshold. In addition, the controller can detect two or more co-occurring sound events based on the relative distance between pixels with intensities exceeding the threshold. The resulting data fusion of image pixel data, audio sample data, and acoustic image data can be analyzed using computer audio vision, sound/voice recognition, and acoustic signature techniques to recognize/identify audio and visual features associated with the event and to empirically or theoretically determine one or more conditions causing each event.

    AUTOMATED RESOURCE MANAGEMENT FOR DISTRIBUTED COMPUTING
    7.
    发明申请
    AUTOMATED RESOURCE MANAGEMENT FOR DISTRIBUTED COMPUTING 有权

    公开(公告)号：US20220197773A1

    公开(公告)日：2022-06-23

    申请号：US17439262

    申请日：2020-03-26

    Applicant: Intel Corporation

    Inventor： Joseph Butler ,  Keith A. Ellis ,  Thijs Metsch ,  Radhika Loomba ,  Perumal Kappuudaiyar

    IPC: G06F11/34 ,  G06F9/50

    Abstract: In some embodiments, infrastructure data and service data is received for a computing infrastructure. The infrastructure data indicates resources in the computing infrastructure, and the service data indicates services to be orchestrated across the computing infrastructure. An infrastructure capacity model is generated, which indicates a capacity of the computing infrastructure over a particular time window. Service-to-resource placement options are also identified, which indicate possible placements of the services across the resources over the particular time window. Resource inventory data is obtained, which indicates an inventory of resources that are available to add to the computing infrastructure during the particular time window. An infrastructure capacity plan is then generated, which indicates resource capacity allocation options over the time slots of the particular time window. Resource capacities for the services are then allocated in the computing infrastructure.

    METHODS AND APPARATUS TO FACILITATE END-USER DEFINED POLICY MANAGEMENT
    8.
    发明申请
    METHODS AND APPARATUS TO FACILITATE END-USER DEFINED POLICY MANAGEMENT 有权

    公开(公告)号：US20210250377A1

    公开(公告)日：2021-08-12

    申请号：US17025830

    申请日：2020-09-18

    Applicant: Intel Corporation

    Inventor： Keith A. Ellis ,  Ronan O'Malley ,  Connor Upton ,  David M. Boundy ,  Hugh Martin Carr

    IPC: H04L29/06 ,  H04W12/08 ,  H04L29/08

    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate end-user defined policy management. An example apparatus includes an edge node interface to detect addition of a networked user device to a service gateway, and to extract publish information from the networked user device. The example apparatus also includes a device context manager to identify tag parameters based on the publish information from the networked user device, and a tag manager to prohibit unauthorized disclosure of the networked user device by setting values of the tag parameters based on a user profile associated with a type of the networked user device.

    METHODS AND APPARATUS FOR CONDITIONAL CLASSIFIER CHAINING IN A CONSTRAINED MACHINE LEARNING ENVIRONMENT
    9.
    发明申请
    METHODS AND APPARATUS FOR CONDITIONAL CLASSIFIER CHAINING IN A CONSTRAINED MACHINE LEARNING ENVIRONMENT 审中-公开

    公开(公告)号：US20190124488A1

    公开(公告)日：2019-04-25

    申请号：US16226131

    申请日：2018-12-19

    Applicant: Intel Corporation

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

    IPC: H04W4/38 ,  G06N20/00 ,  G06K9/62 ,  G06F13/16

    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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