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公开(公告)号：US20230342196A1
公开(公告)日：2023-10-26
申请号：US18301755
申请日：2023-04-17
Applicant: Intel Corporation
Inventor： Thijs Metsch , Joseph Butler , Mohammad Mejbah Ul Alam , Justin Gottschlich
CPC classification number: G06F9/4881 , 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.
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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
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.
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13.发明授权公开(公告)号：US10225631B2
公开(公告)日：2019-03-05
申请号：US15920266
申请日：2018-03-13
Applicant: Intel Corporation
Inventor： Annie Ibrahim Rana , Joseph Butler , Thijs Metsch , Alexander Leckey , Vincenzo Mario Riccobene , Giovani Estrada
Abstract: A system comprises a scoring engine comprising at least one processor and memory. The scoring engine is to generate, based on telemetry information obtained from a plurality of nodes of a computing infrastructure, a first availability score for a first node of the plurality of computing infrastructure nodes and a second availability score for a second node of the plurality of computing infrastructure nodes. The scoring engine is further to generate, based on the first availability score of the first computing infrastructure node and the second availability score of the second computing infrastructure node, an edge tension score for a link between the first node and the second node.
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14.发明申请公开(公告)号：US20180206010A1
公开(公告)日：2018-07-19
申请号：US15920266
申请日：2018-03-13
Applicant: Intel Corporation
Inventor： Annie Ibrahim Rana , Joseph Butler , Thijs Metsch , Alexander Leckey , Vincenzo Mario Riccobene , Giovani Estrada
Abstract: In one embodiment, a system comprises a scoring engine comprising at least one processor and memory. The scoring engine is to generate, based on telemetry information obtained from a plurality of nodes of a computing infrastructure, a first availability score for a first node of the plurality of computing infrastructure nodes and a second availability score for a second node of the plurality of computing infrastructure nodes. The scoring engine is further to generate, based on the first availability score of the first computing infrastructure node and the second availability score of the second computing infrastructure node, an edge tension score for a link between the first node and the second node.
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15.发明申请公开(公告)号：US20170230733A1
公开(公告)日：2017-08-10
申请号：US15018211
申请日：2016-02-08
Applicant: Intel Corporation
Inventor： Annie Ibrahim Rana , Joseph Butler , Thijs Metsch , Alexander Leckey , Vincenzo Mario Riccobene , Giovani Estrada
Abstract: In one embodiment, a system comprises a scoring engine comprising at least one processor and memory. The scoring engine is to generate, based on telemetry information obtained from a plurality of nodes of a computing infrastructure, a first availability score for a first node of the plurality of computing infrastructure nodes and a second availability score for a second node of the plurality of computing infrastructure nodes. The scoring engine is further to generate, based on the first availability score of the first computing infrastructure node and the second availability score of the second computing infrastructure node, an edge tension score for a link between the first node and the second node.
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Patent Agency Ranking
公开(公告)号：US12242889B2
公开(公告)日：2025-03-04
申请号：US18301755
申请日：2023-04-17
Applicant: Intel Corporation
Inventor： Thijs Metsch , Joseph Butler , Mohammad Mejbah Ul Alam , Justin Gottschlich
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.
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17.发明授权公开(公告)号：US10404547B2
公开(公告)日：2019-09-03
申请号：US15114687
申请日：2015-02-24
Applicant: INTEL CORPORATION
Inventor： Katalin K. Bartfai-Walcott , Michael Christopher Woods , Giovani Estrada , John Kennedy , Joseph Butler , Slawomir Putyrski , Alexander Leckey , Victor M. Bayon-Molino , Connor Upton , Thijs Metsch
IPC: G06F15/173 , H04L12/24 , H04L12/26
Abstract: Technologies for datacenter management include one or more computing racks each including a rack controller. The rack controller may receive system, performance, or health metrics for the components of the computing rack. The rack controller generates regression models to predict component lifespan and may predict logical machine lifespans based on the lifespan of the included hardware components. The rack controller may generate notifications or schedule maintenance sessions based on remaining component or logical machine lifespans. The rack controller may compose logical machines using components having similar remaining lifespans. In some embodiments the rack controller may validate a service level agreement prior to executing an application based on the probability of component failure. A management interface may generate an interactive visualization of the system state and optimize the datacenter schedule based on optimization rules derived from human input in response to the visualization. Other embodiments are described and claimed.
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公开(公告)号：US20190045374A1
公开(公告)日：2019-02-07
申请号：US15900604
申请日：2018-02-20
Applicant: Intel Corporation
Inventor： Radhika Loomba , Leonard Feehan , Joseph Butler , Thijs Metsch
Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform; and a service chain pre-placement analyzer to operate on the hardware platform and configured to: receive a total utility input for a service chain placement; predict a mobility pattern for the service chain placement; and compute an average utility for the service chain placement, wherein the average utility is a product of the total utility and the mobility pattern.
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公开(公告)号：US09843474B2
公开(公告)日：2017-12-12
申请号：US14998176
申请日：2015-12-23
Applicant: Intel Corporation
Inventor： Giovani Estrada , Victor Bayon-Molino , Michael J. McGrath , Joseph Butler
IPC: H04L12/24
CPC classification number: H04L41/0695 , H04L41/046 , H04L41/0631 , H04L41/0893 , H04L41/5009
Abstract: Methods, systems, and storage media for telemetry adaptation are disclosed herein. In an embodiment, a networking device may include a data collector agent module to receive measurement data from measurement sources according to an initial telemetry policy and to provide the measurement data to the one or more servers of the monitoring system. The networking device may include an anomaly detection module to receive measurement data from the data collector agent module, to detect an anomaly in the measurement data, and to provide an indication of the anomaly to the data collector agent module for the data collector agent module to provide a first modified telemetry policy for the measurement sources.
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公开(公告)号：US11729440B2
公开(公告)日：2023-08-15
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: H04N21/2343 , H04N21/234 , H04N21/426 , H04N21/63 , H04L65/61 , H04L65/75 , G06F9/50 , G06F11/34
CPC classification number: H04N21/234345 , G06F9/505 , G06F9/5038 , G06F11/3442 , G06F11/3495 , H04L65/61 , H04L65/765 , H04N21/23406 , H04N21/42692 , H04N21/632
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.
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