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    End-to-end quality of service in edge computing environments
    11.
    发明授权
    End-to-end quality of service in edge computing environments 有权

    公开(公告)号：US11146455B2

    公开(公告)日：2021-10-12

    申请号：US16722740

    申请日：2019-12-20

    Applicant: Intel Corporation

    Inventor： Kshitij Arun Doshi ,  Ned M. Smith ,  Francesc Guim Bernat ,  Timothy Verrall ,  Rajesh Gadiyar

    IPC: H04L12/24 ,  H04L29/08

    Abstract: Systems and techniques for end-to-end quality of service in edge computing environments are described herein. A set of telemetry measurements may be obtained for an ongoing dataflow between a device and a node of an edge computing system. A current key performance indicator (KPI) may be calculated for the ongoing dataflow. The current KPI may be compared to a target KPI to determine an urgency value. A set of resource quality metrics may be collected for resources of the network. The set of resource quality metrics may be evaluated with a resource adjustment model to determine available resource adjustments. A resource adjustment may be selected from the available resource adjustments based on an expected minimization of the urgency value. Delivery of the ongoing dataflow may be modified using the selected resource adjustment.

    Localized service resiliency
    14.
    发明授权
    Localized service resiliency 有权

    公开(公告)号：US10666497B2

    公开(公告)日：2020-05-26

    申请号：US16015247

    申请日：2018-06-22

    Applicant: Intel Corporation

    Inventor： Maryam Tahhan ,  John Joseph Browne ,  Eoin Walsh ,  Timothy Verrall ,  Rory Browne ,  Emma Louise Foley ,  Shobhi Jain ,  Peter Mangan

    IPC: H04L12/24 ,  H04L12/26

    Abstract: There is disclosed in one example a computing apparatus, including: a local platform including a hardware platform; a management interface to communicatively couple the local platform to a management controller; a virtualization infrastructure to operate on the hardware platform and to provide a local virtualized function; and a resiliency controller to operate on the hardware platform, and configured to: receive a resiliency policy from the management controller via the management interface, the resiliency policy including information to handle a fault in the virtualized function; detect a fault in the local virtualized function; and effect a resiliency action responsive to detecting the fault.

    TECHNOLOGIES FOR LOAD-AWARE TRAFFIC STEERING
    16.
    发明申请
    TECHNOLOGIES FOR LOAD-AWARE TRAFFIC STEERING 审中-公开

    公开(公告)号：US20190045000A1

    公开(公告)日：2019-02-07

    申请号：US16023733

    申请日：2018-06-29

    Applicant: Intel Corporation

    Inventor： Chetan Hiremath ,  Timothy Verrall ,  Andrey Chilikin ,  Thomas Long ,  Maryam Tahhan ,  Eoin Walsh ,  Andrew Duignan ,  Rory Browne

    IPC: H04L29/08 ,  H04L12/721

    Abstract: Technologies for load-aware traffic steering include a compute device that includes a multi-homed network interface controller (NIC) with a plurality of NICs. The compute device determines a target virtual network function (VNF) of a plurality of VNFs to perform a processing operation on a network packet. The compute device further identifies a first steering point of a first NIC to steer the received network packet to virtual machines (VMs) associated with the target VNF and retrieves a resource utilization metric that corresponds to a usage level of a component of the compute device used by the VMs to process the network packet. Additionally, the compute device determines whether the resource utilization metric indicates a potential overload condition and provides a steering instruction to a second steering point of a second NIC that is usable to redirect the network traffic to the other VMs via the identified second steering point.

    Allowing varied device access based on different levels of unlocking mechanisms
    18.
    发明授权
    Allowing varied device access based on different levels of unlocking mechanisms 有权
    根据不同级别的解锁机制允许不同的设备访问

    公开(公告)号：US09223952B2

    公开(公告)日：2015-12-29

    申请号：US13630100

    申请日：2012-09-28

    Applicant: Intel Corporation

    Inventor： Keith Shippy ,  Tobias Kohlenberg ,  Mubashir Mian ,  Ned Smith ,  Omer Ben-Shalom ,  Tarun Viswanathan ,  Dennis Morgan ,  Timothy Verrall ,  Manish Dave ,  Eran Birk

    IPC: G06F17/00 ,  H04L29/06 ,  G06F21/31 ,  H04W12/06 ,  H04W88/02

    CPC classification number: H04L63/105 ,  G06F21/316 ,  G06F2221/2105 ,  G06F2221/2113 ,  H04L63/08 ,  H04L2463/082 ,  H04W12/06 ,  H04W88/02

    Abstract: Systems and methods may provide for receiving runtime input from one or more unlock interfaces of a device and selecting a level of access with regard to the device from a plurality of levels of access based on the runtime input. The selected level of access may have an associated security policy, wherein an authentication of the runtime input may be conducted based on the associated security policy. In one example, one or more cryptographic keys are used to place the device in an unlocked state with regard to the selected level of access if the authentication is successful. If the authentication is unsuccessful, on the other hand, the device may be maintained in a locked state with regard to the selected level of access.

    Abstract translation: 系统和方法可以提供用于从设备的一个或多个解锁接口接收运行时间输入，并且基于运行时间输入从多个访问级别中选择关于设备的访问级别。 所选择的访问级别可以具有相关联的安全策略，其中可以基于相关联的安全策略来执行运行时输入的认证。 在一个示例中，如果认证成功，则使用一个或多个加密密钥来将设备关于所选择的访问级别放置在解锁状态。 如果认证不成功，另一方面，相对于所选择的访问级别，设备可以保持在锁定状态。

    SCALABLE EDGE COMPUTING
    19.
    发明申请
    SCALABLE EDGE COMPUTING 有权

    公开(公告)号：US20240396852A1

    公开(公告)日：2024-11-28

    申请号：US18792276

    申请日：2024-08-01

    Applicant: Intel Corporation

    Inventor： Francesc Guim Bernat ,  Karthik Kumar ,  Thomas Willhalm ,  Mark A. Schmisseur ,  Timothy Verrall

    IPC: H04L47/765 ,  G06F9/50 ,  G06N20/00 ,  H04L47/70 ,  H04L47/83

    Abstract: There is disclosed in one example an application-specific integrated circuit (ASIC), including: an artificial intelligence (AI) circuit; and circuitry to: identify a flow, the flow including traffic diverted from a core cloud service of a network to be serviced by an edge node closer to an edge of the network than to the core of the network; receive telemetry related to the flow, the telemetry including fine-grained and flow-level network monitoring data for the flow; operate the AI circuit to predict, from the telemetry, a future service-level demand for the edge node; and cause a service parameter of the edge node to be tuned according to the prediction.

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