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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: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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13.
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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