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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
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.
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12.
公开(公告)号:US09918146B2
公开(公告)日:2018-03-13
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: 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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公开(公告)号:US20170255494A1
公开(公告)日:2017-09-07
申请号:US15112309
申请日:2015-02-23
Applicant: Intel Corporation
Inventor: Katalin K. Bartfai-Walcott , John Kennedy , Thijs Metsch , Chris Woods , Giovani Estrada , Alexander Leckey , Joseph Butler , Slawomir Putyrski
IPC: G06F9/50
CPC classification number: G06F9/5027 , H04L41/0803 , H04L41/082 , H04L41/0853 , H04L41/0896 , H04L41/12
Abstract: Examples are described for computing resource discovery and management for a system of configurable computing resources that may include disaggregate physical elements such as central processing units, storage devices, memory devices, network input/output devices or network switches. In some examples, these disaggregate physical elements may be located within one or more racks of a data center.
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公开(公告)号:US20170187790A1
公开(公告)日:2017-06-29
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
CPC classification number: H04L67/1008 , H04L41/5025
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.
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公开(公告)号:US20170187570A1
公开(公告)日:2017-06-29
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:US11237898B2
公开(公告)日:2022-02-01
申请号:US16574597
申请日:2019-09-18
Applicant: Intel Corporation
Inventor: Giovani Estrada , Victor Bayon-Molino
Abstract: Various systems and methods for implementing automatic model generation for performance monitoring are described herein. A performance monitoring system includes a model manager to: identify a performance model that predicts performance of an operational node, the performance model based on telemetry data from the operational node; and implement an automatic verification operation to analyze the performance model and revise the performance model when the performance model is no longer valid; and an event processor to: initiate a remedial action at the operational node when the performance model indicates an alert state.
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公开(公告)号:US10469570B2
公开(公告)日:2019-11-05
申请号:US14998308
申请日:2015-12-26
Applicant: Intel Corporation
Inventor: Victor Bayon-Molino , Giovani Estrada
Abstract: Technologies for provisioning jobs to servers at a datacenter include a compute device to identify a class of each of a plurality of available servers in the datacenter, wherein the class is indicative of a set of hardware included on the corresponding server. The compute device selects a workload that includes a plurality of jobs to provision to a subset of the available servers and determines a provisioning configuration for the workload from a set of prospective configurations as a function of a rack utilization of each prospective configuration, the classes utilized by each prospective configuration, and a number of racks utilized by each prospective configuration. The provisioning configuration identifies a subset of the available servers to which to provision the jobs of the workload.
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18.
公开(公告)号:US20190124488A1
公开(公告)日:2019-04-25
申请号:US16226131
申请日:2018-12-19
Applicant: Intel Corporation
Inventor: Keith A. Ellis , Giovani Estrada , David Coates , Michael Nolan
Abstract: Methods, apparatus, systems, and articles of manufacture for conditional classifier chaining in a constrained machine learning environment are disclosed. An example apparatus includes a classification controller to select a first model to be utilized to classify a first feature identified from sensor data. A memory controller is to copy the first model to a memory. A machine learning processor is to apply the first model to the first feature to create a first classification output, the first classification output indicating an identified class. The classification controller is to, in response to a determination that the first classification output identifies a second model to be used for classification, instruct the memory controller to load the second model into the memory. The machine learning processor is to apply the second model to the second feature to create a second classification output.
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公开(公告)号:US20190102659A1
公开(公告)日:2019-04-04
申请号:US16147043
申请日:2018-09-28
Applicant: Intel Corporation
Inventor: Keith Ellis , Giovani Estrada , Michael Nolan , Niall Cahill , David Coates
Abstract: Methods, apparatus, systems and articles of manufacture to improve accuracy of a fog/edge-based classifier system are disclosed. An example apparatus includes a transducer to mounted on a tracked object, the transducer to generate data samples corresponding to the tracked object; a discriminator to: generate a first classification using a first model based on a first calculated feature of the first data samples from the transducer, the first model corresponding to calculated features determined from second data samples, the second data samples obtained prior to the first data samples; generate an offset based on a difference between a first model feature the first model and a second model feature of a second model, the second model being different than the first model; and adjust the first calculated feature using the offset to generate an adjusted feature; a pattern matching engine to generate a second classification using vectors corresponding to the second model based on the adjusted feature; and a counter to, when the first classification matches the second classification, increment a count.
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20.
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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