公开(公告)号：US11880727B2

公开(公告)日：2024-01-23

申请号：US17556682

申请日：2021-12-20

Applicant: Intel Corporation

Inventor： Marcos Carranza ,  Cesar Martinez-Spessot ,  Mateo Guzman ,  Francesc Guim Bernat ,  Karthik Kumar ,  Rajesh Poornachandran ,  Kshitij Arun Doshi

IPC: G06F9/54 ,  H04L67/133

CPC classification number: G06F9/547 ,  H04L67/133

Abstract: Embodiments described herein are generally directed to the use of sidecars to perform dynamic Application Programming Interface (API) contract generation and conversion. In an example, a first call by a first microservice to a first API of a second microservice is intercepted by a first sidecar of the first microservice. The first API is of a first API type of multiple API types and is specified by a first contract. An API type of the multiple API types is selected by the first sidecar. Responsive to determining the selected API type differs from the first API type, based on the first contract, a second contract is generated by the first sidecar specifying a second API of the selected API type; and a second sidecar of the second microservice is caused to generate the second API and internally connect the second API to the first API based on the second contract.

公开(公告)号：US11831507B2

公开(公告)日：2023-11-28

申请号：US17737413

申请日：2022-05-05

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Kshitij Arun Doshi ,  Ned M. Smith ,  Timothy Verrall ,  Uzair Qureshi

IPC: H04L41/084 ,  H04L41/0869 ,  H04L49/00 ,  H04L47/78 ,  H04L41/5054 ,  G06F9/48 ,  G06F9/50 ,  G06F9/54 ,  G06F11/30 ,  H04L9/06 ,  H04L9/32 ,  G06F1/20 ,  H04L67/10 ,  H04W4/08 ,  H04W12/04

CPC classification number: H04L41/0843 ,  G06F1/206 ,  G06F9/4881 ,  G06F9/505 ,  G06F9/5094 ,  G06F9/542 ,  G06F11/3006 ,  H04L9/0637 ,  H04L9/3213 ,  H04L9/3247 ,  H04L41/0869 ,  H04L41/5054 ,  H04L47/781 ,  H04L49/70 ,  H04L67/10 ,  H04W4/08 ,  H04W12/04 ,  G06F2209/5021

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.

公开(公告)号：US20230273659A1

公开(公告)日：2023-08-31

申请号：US18313993

申请日：2023-05-08

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Kshitij Arun Doshi ,  Adrian Hoban ,  Thijs Metsch ,  John J. Browne

IPC: G06F1/20 ,  H05K7/20

CPC classification number: G06F1/206 ,  H05K7/20281 ,  H05K7/20272

Abstract: Systems, apparatus, and methods for managing cooling of compute components are disclosed. An example apparatus includes programmable circuitry to at least one of instantiate or execute machine readable instructions to identify a workload to be performed by a compute device, identify a service level objective associated with the workload or the compute device, determine a parameter of a coolant to enable the service level objective to be satisfied during performance of the workload, and cause a cooling distribution unit to control the coolant based on the coolant parameter.

公开(公告)号：US11743143B2

公开(公告)日：2023-08-29

申请号：US17832903

申请日：2022-06-06

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Kshitij Arun Doshi ,  Suraj Prabhakaran ,  Raghu Kondapalli ,  Alexander Bachmutsky

IPC: H04L12/70 ,  H04L41/0806 ,  H04W48/08 ,  H04L67/12 ,  H04L41/5019 ,  H04L41/5041 ,  H04L67/61 ,  H04L67/63 ,  G06N5/04

CPC classification number: H04L41/5019 ,  H04L41/0806 ,  H04L41/5045 ,  H04L67/12 ,  H04L67/61 ,  H04L67/63 ,  G06N5/04

Abstract: Various systems and methods for implementing a service-level agreement (SLA) apparatus receive a request from a requester via a network interface of the gateway, the request comprising an inference model identifier that identifies a handler of the request, and a response time indicator. The response time indicator relates to a time within which the request is to be handled indicates an undefined time within which the request is to be handled. The apparatus determines a network location of a handler that is a platform or an inference model to handle the request consistent with the response time indicator, and routes the request to the handler at the network location.

公开(公告)号：US20230209772A1

公开(公告)日：2023-06-29

申请号：US18145670

申请日：2022-12-22

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Arun Hodigere ,  Kshitij Arun Doshi ,  Henning Schroeder ,  John J. Browne

IPC: H05K7/20 ,  G06F1/20 ,  G06F9/48 ,  G06F9/50

CPC classification number: H05K7/20281 ,  G06F1/20 ,  G06F9/4893 ,  G06F9/5094

Abstract: Methods and apparatus for resource lifetime aware cooling schemes are disclosed. A disclosed example apparatus to manage a computing system includes at least one memory, machine readable instructions, and processor circuitry. The processor circuitry is to at least one of instantiate or execute the machine readable instructions to determine an effective age of a computing resource of the computing system, the computing resource associated with a degree of cooling thereof, determine a remaining life of the computing resource, compare the remaining life to a reliability threshold, and adjust at least one of a utilization or the degree of cooling of the computing resource in response to the remaining life not meeting the reliability threshold to adjust the remaining life to meet or exceed the reliability threshold.

公开(公告)号：US20230195597A1

公开(公告)日：2023-06-22

申请号：US17556044

申请日：2021-12-20

Applicant: Intel Corporation

Inventor： Mateo Guzman ,  Francesc Guim Bernat ,  Karthik Kumar ,  Marcos Carranza ,  Cesar Martinez-Spessot ,  Rajesh Poornachandran ,  Kshitij Arun Doshi

IPC: G06F11/36

CPC classification number: G06F11/3636 ,  G06F11/3656 ,  G06F11/3664 ,  G06F11/366

Abstract: An apparatus to facilitate matchmaking-based enhanced debugging for microservices architectures is disclosed. The apparatus includes one or more processors to: detect, by an anomaly detector in a sidecar of a microservice hosted by a container, an anomaly in telemetry data generated by the microservice, the microservice hosted in a container executed by the processor and part of a service of an application; enable, by an enhanced debug and trace component of the sidecar, a debug mode in the microservice, the debug mode based on a type of the anomaly; collect, by the enhanced debug and trace component, a target set of data points generated by the microservice; and process, by the enhanced debug and trace component, the target set of data points with a matchmaking process to generate a timestamp and a tag for a context for each data point of the target set of data points.

公开(公告)号：US20230022620A1

公开(公告)日：2023-01-26

申请号：US17875672

申请日：2022-07-28

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Patrick Bohan ,  Kshitij Arun Doshi ,  Brinda Ganesh ,  Andrew J. Herdrich ,  Monica Kenguva ,  Karthik Kumar ,  Patrick G. Kutch ,  Felipe Pastor Beneyto ,  Rashmin Patel ,  Suraj Prabhakaran ,  Ned M. Smith ,  Petar Torre ,  Alexander Vul

IPC: H04L67/148 ,  H04L47/70 ,  H04L43/0811 ,  H04W4/40 ,  H04L67/10 ,  H04W4/70 ,  H04L41/5019 ,  H04L67/00 ,  G06F9/48

Abstract: An architecture to perform resource management among multiple network nodes and associated resources is disclosed. Example resource management techniques include those relating to: proactive reservation of edge computing resources; deadline-driven resource allocation; speculative edge QoS pre-allocation; and automatic QoS migration across edge computing nodes. In a specific example, a technique for service migration includes: identifying a service operated with computing resources in an edge computing system, involving computing capabilities for a connected edge device with an identified service level; identifying a mobility condition for the service, based on a change in network connectivity with the connected edge device; and performing a migration of the service to another edge computing system based on the identified mobility condition, to enable the service to be continued at the second edge computing apparatus to provide computing capabilities for the connected edge device with the identified service level.

公开(公告)号：US20220334823A1

公开(公告)日：2022-10-20

申请号：US17734669

申请日：2022-05-02

Applicant: Intel Corporation

Inventor： Ned M. Smith ,  Kshitij Arun Doshi ,  John J. Browne ,  Vincent J. Zimmer ,  Francesc Guim Bernat ,  Kapil Sood

IPC: G06F8/65 ,  G06F21/44 ,  G06F21/64 ,  H04L9/12 ,  H04L9/14 ,  H04L9/40 ,  H04L9/32 ,  H04L9/08

Abstract: Various systems and methods for enabling derivation and distribution of an attestation manifest for a software update image are described. In an example, these systems and methods include orchestration functions and communications, providing functionality and components for a software update process which also provides verification and attestation among multiple devices and operators.

公开(公告)号：US11412052B2

公开(公告)日：2022-08-09

申请号：US16235137

申请日：2018-12-28

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Patrick Bohan ,  Kshitij Arun Doshi ,  Brinda Ganesh ,  Andrew J. Herdrich ,  Monica Kenguva ,  Karthik Kumar ,  Patrick G Kutch ,  Felipe Pastor Beneyto ,  Rashmin Patel ,  Suraj Prabhakaran ,  Ned M. Smith ,  Petar Torre ,  Alexander Vul

IPC: H04L67/148 ,  H04L43/0811 ,  H04L67/10 ,  H04L41/5019 ,  H04L67/00 ,  H04L41/5003 ,  H04L47/70 ,  H04W4/40 ,  H04W4/70 ,  G06F9/48

Abstract: An architecture to perform resource management among multiple network nodes and associated resources is disclosed. Example resource management techniques include those relating to: proactive reservation of edge computing resources; deadline-driven resource allocation; speculative edge QoS pre-allocation; and automatic QoS migration across edge computing nodes. In a specific example, a technique for service migration includes: identifying a service operated with computing resources in an edge computing system, involving computing capabilities for a connected edge device with an identified service level; identifying a mobility condition for the service, based on a change in network connectivity with the connected edge device; and performing a migration of the service to another edge computing system based on the identified mobility condition, to enable the service to be continued at the second edge computing apparatus to provide computing capabilities for the connected edge device with the identified service level.

公开(公告)号：US11374776B2

公开(公告)日：2022-06-28

申请号：US16722820

申请日：2019-12-20

Applicant: Intel Corporation

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

IPC: H04L67/141 ,  H04L41/14 ,  H04L47/70 ,  H04L67/12 ,  G06F8/41 ,  G06F9/38 ,  G06F9/445 ,  G06F9/48 ,  G06F9/50 ,  G06F11/34 ,  H04L67/10 ,  G16Y40/10 ,  H04L9/32 ,  H04L9/40 ,  G06F12/14 ,  H04L9/08 ,  G06F9/455 ,  G06F16/18 ,  G06F16/23 ,  G06F11/10 ,  H04L9/06 ,  H04L41/0893 ,  H04L41/5009 ,  H04L41/5025 ,  H04L43/08 ,  H04L67/1008 ,  G06F9/54 ,  G06F21/60 ,  H04L9/00 ,  H04L41/0896 ,  H04L41/142 ,  H04L41/5051

Abstract: Systems and techniques for adaptive dataflow transformation in edge computing environments are described herein. A transformation compatibility indication may be received from a device. A set of transformations available for use by the device connected to the network may be determined based on the transformation compatibility indicator. The set of transformations may be transmitted to the device. A value may be determined for an operating metric for an edge computing node of the network. The edge computing node may provide a service to the device via the network. A transformation request may be transmitted to the device based on the value. The transformation request may cause the device to execute a transformation of the set of transformations to transform a dataflow of the service. The adaptive dataflow transformations may be continuous with changing predicted values of operating metrics.