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公开(公告)号:US20240385884A1
公开(公告)日:2024-11-21
申请号:US18571092
申请日:2021-12-23
Applicant: Intel Corporation
Inventor: Karthik Kumar , Timothy Verrall , Thomas Willhalm , Francesc Guim Bernat , Zhongyan Lu
IPC: G06F9/50
Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to estimate workload complexity. An example apparatus includes processor circuitry to perform at least one of first, second, or third operations to instantiate payload interface circuitry to extract workload objective information and service level agreement (SLA) criteria corresponding to a workload, and acceleration circuitry to select a pre-processing model based on (a) the workload objective information and (b) feedback corresponding to workload performance metrics of at least one prior workload execution iteration, execute the pre-processing model to calculate a complexity metric corresponding to the workload, and select candidate resources based on the complexity metric.
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公开(公告)号:US12095844B2
公开(公告)日:2024-09-17
申请号:US17069809
申请日:2020-10-13
Applicant: Intel Corporation
Inventor: Francesc Guim Bernat , Brinda Ganesh , Timothy Verrall , Ned Smith , Kshitij Doshi
IPC: H04L67/02 , G06F9/455 , H04L67/1097 , H04L67/5682
CPC classification number: H04L67/02 , G06F9/45558 , H04L67/1097 , H04L67/5682 , G06F2009/45562 , G06F2009/45591 , G06F2009/45595
Abstract: Methods, apparatus, systems and articles of manufacture for re-use of a container in an edge computing environment are disclosed. An example method includes detecting that a container executed at an edge node of a cloud computing environment is to be cleaned, deleting user data from the container, the deletion of the user data performed without deleting the container from the memory of the edge node, restoring settings of the container to a default state; and storing information identifying the container, the information including a flavor of the container, the storing of the information to enable the container to be re-used by a subsequent requestor.
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公开(公告)号:US11824732B2
公开(公告)日:2023-11-21
申请号:US16235462
申请日:2018-12-28
Applicant: Intel Corporation
Inventor: Francesc Guim Bernat , Suraj Prabhakaran , Kshitij A. Doshi , Brinda Ganesh , Timothy Verrall
IPC: H04L41/16 , G06N3/04 , G06N5/04 , H04L41/5019 , H04L41/5009 , H04L41/5051 , H04L41/0816
CPC classification number: H04L41/16 , G06N3/04 , G06N5/04 , H04L41/0816 , H04L41/5012 , H04L41/5019 , H04L41/5051
Abstract: Examples include techniques for artificial intelligence (AI) capabilities at a network switch. These examples include receiving a request to register a neural network for loading to an inference resource located at the network switch and loading the neural network based on information included in the request to support an AI service to be provided by users requesting the AI service.
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公开(公告)号:US11625277B2
公开(公告)日:2023-04-11
申请号:US16878861
申请日:2020-05-20
Applicant: Intel Corporation
Inventor: Francesc Guim Bernat , Kshitij Arun Doshi , Bassam N. Coury , Suraj Prabhakaran , Timothy Verrall
Abstract: Systems and methods may be used to determine where to run a service based on workload-based conditions or system-level conditions. An example method may include determining whether power available to a resource of a compute device satisfies a target power, for example to satisfy a target performance for a workload. When the power available is insufficient, an additional resource may be provided, for example on a remote device from the compute device. The additional resource may be used as a replacement for the resource of the compute device or to augment the resource of the compute device.
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公开(公告)号:US11539596B2
公开(公告)日:2022-12-27
申请号:US17494511
申请日:2021-10-05
Applicant: Intel Corporation
Inventor: Kshitij Arun Doshi , Ned M. Smith , Francesc Guim Bernat , Timothy Verrall , Rajesh Gadiyar
IPC: H04L41/142 , H04L41/16 , H04L41/0816 , H04L67/10
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.
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公开(公告)号:US11388054B2
公开(公告)日:2022-07-12
申请号:US16723118
申请日:2019-12-20
Applicant: Intel Corporation
Inventor: Francesc Guim Bernat , Kshitij Arun Doshi , Ned M. Smith , Timothy Verrall , Uzair Qureshi
IPC: H04L12/24 , H04L12/931 , H04L12/911 , G06F9/48 , G06F9/50 , G06F9/54 , G06F11/30 , H04L9/06 , H04L9/32 , G06F1/20 , H04L29/08 , H04W4/08 , H04W12/04 , H04L41/084 , H04L41/0869 , H04L49/00 , H04L47/78 , H04L41/5054 , H04L67/10
Abstract: Various approaches for deployment and use of configurable edge computing platforms are described. In an edge computing system, an edge computing device includes hardware resources that can be composed from a configuration of chiplets, as the chiplets are disaggregated for selective use and deployment (for compute, acceleration, memory, storage, or other resources). In an example, configuration operations are performed to: identify a condition for use of the hardware resource, based on an edge computing workload received at the edge computing device; obtain, determine, or identify properties of a configuration for the hardware resource that are available to be implemented with the chiplets, with the configuration enabling the hardware resource to satisfy the condition for use of the hardware resource; and compose the chiplets into the configuration, according to the properties of the configuration, to enable the use of the hardware resource for the edge computing workload.
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公开(公告)号:US11379264B2
公开(公告)日:2022-07-05
申请号:US16384554
申请日:2019-04-15
Applicant: Intel Corporation
Inventor: Francesc Guim Bernat , Felipe Pastor Beneyto , Kshitij A. Doshi , Timothy Verrall , Suraj Prabhakaran
IPC: G06F9/48 , G06F1/3296 , G06F1/20 , G06F9/50 , G06F1/3206 , G06F1/30 , G06F1/3234
Abstract: Some examples provide for uninterruptible power supply form (UPS) resources and non-UPS resources to be offered in a composite node for customers to use. For a workload run on the composite node, monitoring of non-UPS resource power availability, resource temperature, and/or cooling facilities can take place. In the event, a non-UPS resource experiences a power outage or reduction in available power, temperature that is at or above a threshold level, and/or cooling facility outage, monitoring of performance of a workload executing on the non-UPS resource can take place. If the performance is acceptable and the power available to the non-UPS resource exceeds a threshold level, the supplied power can be reduced. If the performance experiences excessive levels of errors or slows unacceptably, the workload can be migrated to another non-UPS or UPS compliant resource.
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公开(公告)号:US20220200788A1
公开(公告)日:2022-06-23
申请号:US17561558
申请日:2021-12-23
Applicant: Intel Corporation
Inventor: Timothy Verrall , Thomas Willhalm , Francesc Guim Bernat , Karthik Kumar , Ned M. Smith , Rajesh Poornachandran , Kapil Sood , Tarun Viswanathan , John J. Browne , Patrick Kutch
IPC: H04L9/08
Abstract: Technologies for accelerated key caching in an edge hierarchy include multiple edge appliance devices organized in tiers. An edge appliance device receives a request for a key, such as a private key. The edge appliance device determines whether the key is included in a local key cache and, if not, requests the key from an edge appliance device included in an inner tier of the edge hierarchy. The edge appliance device may request the key from an edge appliance device included in a peer tier of the edge hierarchy. The edge appliance device may activate per-tenant accelerated logic to identify one or more keys in the key cache for eviction. The edge appliance device may activate per-tenant accelerated logic to identify one or more keys for pre-fetching. Those functions of the edge appliance device may be performed by an accelerator such as an FPGA. Other embodiments are described and claimed.
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公开(公告)号:US20220166846A1
公开(公告)日:2022-05-26
申请号:US17390658
申请日:2021-07-30
Applicant: Intel Corporation
Inventor: Ramanathan Sethuraman , Timothy Verrall , Ned M. Smith , Thomas Willhalm , Brinda Ganesh , Francesc Guim Bernat , Karthik Kumar , Evan Custodio , Suraj Prabhakaran , Ignacio Astilleros Diez , Nilesh K. Jain , Ravi Iyer , Andrew J. Herdrich , Alexander Vul , Patrick G. Kutch , Kevin Bohan , Trevor Cooper
IPC: H04L67/303 , H04L9/40 , H04L9/08 , H04L67/12
Abstract: Technologies for managing telemetry and sensor data on an edge networking platform are disclosed. According to one embodiment disclosed herein, a device monitors telemetry data associated with multiple services provided in the edge networking platform. The device identifies, for each of the services and as a function of the associated telemetry data, one or more service telemetry patterns. The device generates a profile including the identified service telemetry patterns.
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公开(公告)号:US11271994B2
公开(公告)日:2022-03-08
申请号:US16234718
申请日:2018-12-28
Applicant: Intel Corporation
Inventor: Francesc Guim Bernat , Ned Smith , Thomas Willhalm , Karthik Kumar , Timothy Verrall
IPC: H04L29/08 , H04L67/1008 , H04L67/1021 , H04L67/10 , H04L67/61 , H04L67/63 , H04L67/00 , H04L67/59
Abstract: Technologies for providing selective offload of execution of an application to the edge include a device that includes circuitry to determine whether a section of an application to be executed by the device is available to be offloaded. Additionally, the circuitry is to determine one or more characteristics of an edge resource available to execute the section. Further, the circuitry is to determine, as a function of the one or more characteristics and a target performance objective associated with the section, whether to offload the section to the edge resource and offload, in response to a determination to offload the section, the section to the edge resource.
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