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公开(公告)号:US11252021B2
公开(公告)日:2022-02-15
申请号:US16870369
申请日:2020-05-08
Applicant: Intel Corporation
Inventor: Giovani Estrada , Victor Bayon-Molino , Michael J. McGrath , Joseph Butler
IPC: H04L12/26 , H04L29/08 , H04L12/24 , H04L41/0695 , H04L41/0631 , H04L41/0893 , G06F11/34 , H04L41/5009 , H04L41/046
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:US11184778B2
公开(公告)日:2021-11-23
申请号:US15900604
申请日:2018-02-20
Applicant: Intel Corporation
Inventor: Radhika Loomba , Leonard Feehan , Joseph Butler , Thijs Metsch
IPC: H04W4/00 , H04W16/18 , H04W40/18 , H04W28/02 , H04L12/717
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:US20160357610A1
公开(公告)日:2016-12-08
申请号:US15112339
申请日:2015-02-23
Applicant: INTEL CORPORATION
Inventor: Katalin K. Bartfai-Walcott , Alexander Leckey , John Kennedy , Chris Woods , Giovani Estrada , Joseph Butler , Michael J. McGrath , Slawomir Putyrski
IPC: G06F9/50
CPC classification number: G06F9/5077 , G06F9/5027 , G06F9/5061 , G06F9/5072 , G06F9/5094 , G06F2209/501 , Y02D10/22
Abstract: Examples may include techniques for allocating configurable computing resources from a pool of configurable computing resources to a logical server or virtual machine. The logical server or virtual machine may use allocated configurable computing resources to implement, execute or run a workload.
Abstract translation: 示例可以包括用于将可配置计算资源从可配置计算资源池分配给逻辑服务器或虚拟机的技术。 逻辑服务器或虚拟机可以使用分配的可配置计算资源来实现,执行或运行工作负载。
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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.
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公开(公告)号:US10659317B2
公开(公告)日:2020-05-19
申请号:US15087218
申请日:2016-03-31
Applicant: Intel Corporation
Inventor: Grigorios Katsaros , Alexander Leckey , Joseph Butler , Connor Upton
Abstract: Techniques for dynamically adapting cloud applications are described. A current value of a Key Performance Indicator (KPI) of an executing cloud service instance of a cloud application is detected. A determination is made as to whether the current value of the KPI is unacceptable (e.g., either it is outside of an acceptable range or is within an adaptation region). If the current value of the KPI is unacceptable, a first application programming interface (API) is invoked to request a cloud service instance monitor to adapt the cloud service instance to operate within an acceptable KPI range. If the cloud service instance monitor was unsuccessful, the unacceptable KPI is escalated to the cloud service monitor for the type of the cloud service instance. If the cloud service monitor is unsuccessful, the unacceptable KPI is escalated to the application monitor.
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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
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:US20180248768A1
公开(公告)日:2018-08-30
申请号:US15445598
申请日:2017-02-28
Applicant: Intel Corporation
Inventor: Annie Ibrahim Rana , Vincenzo Riccobene , Thijs Metsch , Guiseppe Petralia , Joseph Butler , Marcin Spoczynski
CPC classification number: H04L41/145 , H04L41/12 , H04L43/08 , H04L43/50
Abstract: Disclosed is a mechanism to identify and quantify influence between data center entities across the physical, allocation, virtual, and service layers. A landscaping system builds an interaction topology. A feature selection mechanism selects metrics that correlate entities connected by the topology. The selected features are then modeled via predictive and inferential modeling techniques. The models generate interaction factors (IFs) that quantify a percentage of a metric for a cloud network entity that is caused by other cloud network entities coupled via the interaction topology. Interaction Confidence Levels (ICLs) are also calculated for the IFs to indicate a level of statistical confidence in the corresponding IF values. The IFs are then employed by a cloud infrastructure management system to optimize allocation of cloud network resources.
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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: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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