公开(公告)号：US20240235959A1

公开(公告)日：2024-07-11

申请号：US18288972

申请日：2021-12-24

Applicant: Intel Corporation

Inventor： John Joseph Browne ,  Francesc Guim Bernat ,  Kshitij Arun Doshi ,  Adrian Hoban ,  David Cremins ,  Thijs Metsch ,  Susanne M. Balle ,  Christopher MacNamara ,  Przemyslaw Perycz ,  Emma Cecilia Collins ,  Timothy Verrall

IPC: H04L41/5003

CPC classification number: H04L41/5003

Abstract: Various systems and methods for autonomously monitoring intent-driven end-to-end (E2E) orchestration are described herein. An orchestration system is configured to: receive, at the orchestration system, an intent-based service level objective (SLO) for execution of a plurality of tasks; generate a common context that relates the SLO to the execution of the plurality of tasks; select a plurality of monitors to monitor the execution of the plurality of tasks, the plurality of monitors to log a plurality of key performance indicators; generate a domain context for the plurality of tasks; configure an analytics system with the plurality of monitors and the plurality of key performance indicators correlated by the domain contexts; deploy the plurality of monitors to collect telemetry; monitor the execution of the plurality of tasks using the telemetry from the plurality of monitors; and perform a responsive action based on the telemetry.

公开(公告)号：US12034597B2

公开(公告)日：2024-07-09

申请号：US17497692

申请日：2021-10-08

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Kshitij Doshi ,  Ned Smith ,  Thijs Metsch

IPC: G06F9/46 ,  G06F1/20 ,  G06F9/48 ,  G06F9/50 ,  G06F9/54 ,  G06F11/30 ,  H04L9/06 ,  H04L9/32 ,  H04L41/084 ,  H04L41/0869 ,  H04L41/5054 ,  H04L47/78 ,  H04L49/00 ,  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: Methods, apparatus, systems and articles of manufacture are disclosed to control processing of telemetry data at an edge platform. An example apparatus includes an orchestrator interface to, responsive to an amount of resources allocated to an orchestrator to orchestrate a workload at the edge platform meeting a first threshold, transmit telemetry data associated with the orchestrator to a computer to obtain a first orchestration result at a first granularity; a resource management controller to determine a second orchestration result at a second granularity to orchestrate the workload at the edge platform, the second granularity finer than the first granularity; and a scheduler to schedule a workload assigned to the edge platform based on the second orchestration result.

公开(公告)号：US20240193617A1

公开(公告)日：2024-06-13

申请号：US18542370

申请日：2023-12-15

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Karthik Kumar ,  Akhilesh S. Thyagaturu ,  Thijs Metsch ,  Adrian Hoban

IPC: G06Q30/018 ,  G06F9/50

CPC classification number: G06Q30/018 ,  G06F9/505

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed. An example apparatus includes programmable circuitry to at least: obtain a first response associated with an estimate of emissions to be produced by execution of a workload on first hardware; obtain a second response associated with an estimate of emissions to be produced by execution of the workload on second hardware; and assign one of the first or the second hardware to execute the workload based on the first response and the second response, the assigned one of the first or the second hardware to at least one of utilize more time or more memory to execute the workload than the other of the first or the second hardware.

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：US11609784B2

公开(公告)日：2023-03-21

申请号：US15955731

申请日：2018-04-18

Applicant: Intel Corporation

Inventor： Thijs Metsch ,  Leonard Feehan ,  Annie Ibrahim Rana ,  Rahul Khanna ,  Sharon Ruane ,  Marcin Spoczynski

IPC: G06F9/48 ,  G06F9/50 ,  G06N20/00

Abstract: A method for distributing at least one computational process amongst shared resources is proposed. At least two shared resources capable of performing the computational process are determined. According to the method, a workload characteristic for each of the shared resources is predicted. The workload characteristic accounts for at least two subsystems of each shared resource. One of the at least two shared resources is selected based on the predicted workload characteristics.

公开(公告)号：US20220247635A1

公开(公告)日：2022-08-04

申请号：US17497692

申请日：2021-10-08

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Kshitij Doshi ,  Ned Smith ,  Thijs Metsch

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

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to control processing of telemetry data at an edge platform. An example apparatus includes an orchestrator interface to, responsive to an amount of resources allocated to an orchestrator to orchestrate a workload at the edge platform meeting a first threshold, transmit telemetry data associated with the orchestrator to a computer to obtain a first orchestration result at a first granularity; a resource management controller to determine a second orchestration result at a second granularity to orchestrate the workload at the edge platform, the second granularity finer than the first granularity; and a scheduler to schedule a workload assigned to the edge platform based on the second orchestration result.

公开(公告)号：US10666570B2

公开(公告)日：2020-05-26

申请号：US15361905

申请日：2016-11-28

Applicant: Intel Corporation

Inventor： Radhika Loomba ,  Thijs Metsch ,  Grigorios Katsaros ,  Joseph Butler ,  Kevin Mullery

IPC: H04L29/08 ,  H04L12/911

Abstract: Apparatuses and methods associated with management of computing infrastructure resources and workloads are disclosed herein. In embodiments, an apparatus may comprise a resource-workload manager having: a placement solution generator to generate a plurality of potential resource placement solutions for allocation of various resources of the computing infrastructure to various workloads; one or more utility function calculators to calculate one or more values for one or more provider-centric attributes, and one or more values for one or more customer-centric attributes, for the plurality of potential solutions; an analyzer to analyze the attributes and select one of the potential resource placement solutions; and a resource allocator to allocate the resources, based at least in part on the selected resource placement solution. Other embodiments may be described and/or claimed.

公开(公告)号：US20190324799A1

公开(公告)日：2019-10-24

申请号：US15955731

申请日：2018-04-18

Applicant: Intel Corporation

Inventor： Thijs Metsch ,  Leonard Feehan ,  Annie Ibrahim Rana ,  Rahul Khanna ,  Sharon Ruane ,  Marcin Spoczynski

IPC: G06F9/48 ,  G06F9/50 ,  G06N99/00

Abstract: A method for distributing at least one computational process amongst shared resources is proposed. At least two shared resources capable of performing the computational process are determined. According to the method, a workload characteristic for each of the shared resources is predicted. The workload characteristic accounts for at least two subsystems of each shared resource. One of the at least two shared resources is selected based on the predicted workload characteristics.

公开(公告)号：US20190317805A1

公开(公告)日：2019-10-17

申请号：US16451974

申请日：2019-06-25

Applicant: Intel Corporation

Inventor： Thijs Metsch ,  Joseph Butler ,  Mohammad Mejbah Ul Alam ,  Justin Gottschlich

IPC: G06F9/48 ,  G06N20/00

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that optimize workflows. An example apparatus includes an intent determiner to determine an objective of a user input, the objective indicating a task to be executed in an infrastructure, a configuration composer to compose a plurality of workflows based on the determined objective, a model executor to execute a machine learning model to create a confidence score relating to the plurality of workflows, and a workflow selector to select at least one of the plurality of workflows for execution in the infrastructure, the selection of the at least one of the plurality of workflows based on the confidence score.

公开(公告)号：US10305974B2

公开(公告)日：2019-05-28

申请号：US14757775

申请日：2015-12-23

Applicant: Intel Corporation

Inventor： Alexander Leckey ,  Joseph M. Butler ,  Thijs Metsch ,  Giovani Estrada ,  Vincenzo M. Riccobene ,  John M. Kennedy

IPC: H04L29/08 ,  H04L12/24

Abstract: One embodiment provides an apparatus. The apparatus includes ranker logic. The ranker logic is to rank each of a plurality of compute nodes in a data center based, at least in part, on a respective node score. Each node score is determined based, at least in part, on a utilization (U), a saturation parameter (S) and a capacity factor (Ci). The capacity factor is determined based, at least in part, on a sold capacity (Cs) related to the compute node. The ranker logic is further to select one compute node with a highest node score for placement of a received workload.