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公开(公告)号：US10915372B1
公开(公告)日：2021-02-09
申请号：US16787989
申请日：2020-02-11
Applicant: Verizon Patent and Licensing Inc.
Inventor： Matthew Kapala , Hector A. Garcia Crespo , Sudha Subramaniam , Brian A. Ward , Brent D. Segner
Abstract: Systems described herein may allow for the intelligent configuration of containers onto virtualized resources. Different configurations may be generated based on the simulation of alternate placements of containers onto nodes, where the placement of a particular container onto a particular node may serve as a root for several branches which may themselves simulate the placement of additional containers on the node (in addition to the container(s) indicated in the root). Once a set of configurations are generated, a particular configuration may be selected according to determined selection parameters and/or intelligent selection techniques.
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公开(公告)号：US20230145986A1
公开(公告)日：2023-05-11
申请号：US18149383
申请日：2023-01-03
Applicant: Verizon Patent and Licensing Inc.
Inventor： Matthew Kapala , Hector A. Garcia Crespo , Sudha Subramaniam , Brian A. Ward , Brent D. Segner
CPC classification number: G06F9/5077 , G06N20/00
Abstract: Systems described herein may allow for the intelligent configuration of containers onto virtualized resources. Different configurations may be generated based on the simulation of alternate placements of containers onto nodes, where the placement of a particular container onto a particular node may serve as a root for several branches which may themselves simulate the placement of additional containers on the node (in addition to the container(s) indicated in the root). Once a set of configurations are generated, a particular configuration may be selected according to determined selection parameters and/or intelligent selection techniques.
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公开(公告)号：US12265925B2
公开(公告)日：2025-04-01
申请号：US17232690
申请日：2021-04-16
Applicant: VERIZON PATENT AND LICENSING INC.
Inventor： Brent D. Segner , Ryan M. O'Donnell , Myron Eugene Bagwell , Christopher A. Rollins
Abstract: Disclosed are embodiments for profiling active workloads in a cloud platform and downstream applications for improving cloud infrastructure based on the profiling. In one embodiment, a method comprises receiving telemetry vectors from a computing device in a cloud platform, each of the telemetry vectors including a plurality of measured values associated with a workload executing on the computing device; clustering the telemetry vectors using an unsupervised learning algorithm, the unsupervised learning algorithm outputting parameters associated with a plurality of clusters; and generating a workload profile from the plurality of clusters by selecting at least one cluster from the plurality of clusters and storing corresponding parameters of the at least one cluster as the workload profile.
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4.发明授权公开(公告)号：US11579939B2
公开(公告)日：2023-02-14
申请号：US17196788
申请日：2021-03-09
Applicant: Verizon Patent and Licensing Inc.
Inventor： Eric Freeman , Hector A. Garcia Crespo , Matthew Kapala , Brent D. Segner
Abstract: Systems described herein may allow for the intelligent configuration of containers onto virtualized resources. As described, systems described herein may generate configurations based on received parameters for utilization to configure (e.g., install, instantiate, etc.) virtualized resources. Once generated, a configuration may be selected according to determined selection parameters and/or intelligent selection techniques.
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公开(公告)号：US11803424B2
公开(公告)日：2023-10-31
申请号：US18149383
申请日：2023-01-03
Applicant: Verizon Patent and Licensing Inc.
Inventor： Matthew Kapala , Hector A. Garcia Crespo , Sudha Subramaniam , Brian A. Ward , Brent D. Segner
CPC classification number: G06F9/5077 , G06N20/00
Abstract: Systems described herein may allow for the intelligent configuration of containers onto virtualized resources. Different configurations may be generated based on the simulation of alternate placements of containers onto nodes, where the placement of a particular container onto a particular node may serve as a root for several branches which may themselves simulate the placement of additional containers on the node (in addition to the container(s) indicated in the root). Once a set of configurations are generated, a particular configuration may be selected according to determined selection parameters and/or intelligent selection techniques.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20210248016A1
公开(公告)日：2021-08-12
申请号：US17196788
申请日：2021-03-09
Applicant: Verizon Patent and Licensing Inc.
Inventor： Eric Freeman , Hector A. Garcia Crespo , Matthew Kapala , Brent D. Segner
Abstract: Systems described herein may allow for the intelligent configuration of containers onto virtualized resources. As described, systems described herein may generate configurations based on received parameters for utilization to configure (e.g., install, instantiate, etc.) virtualized resources. Once generated, a configuration may be selected according to determined selection parameters and/or intelligent selection techniques
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公开(公告)号：US12013743B2
公开(公告)日：2024-06-18
申请号：US17514089
申请日：2021-10-29
Applicant: VERIZON PATENT AND LICENSING INC.
Inventor： Myron E. Bagwell , Brent D. Segner , Ryan M. O'Donnell , Christopher A. Rollins
IPC: G06F1/00 , G06F1/3287 , G06F11/34 , G06F18/21 , G06N20/00
CPC classification number: G06F1/3287 , G06F11/3452 , G06F18/21 , G06N20/00
Abstract: A predictive modeling approach to managing processing unit states is disclosed. In an embodiment, a method includes receiving data associated with a host device, including processor statistics. The method generates a feature vector for the host device which includes data derived from the processor statistics and classifies the feature vector using a predictive model. The predictive model can generate a processor state for the host device based on the feature vector. In response, the method can then issue a processor state change message to the host device based on the processor state. The processor state change message causes the host device to reduce power consumption of one or more processing units based on the processor state.
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公开(公告)号：US11573841B2
公开(公告)日：2023-02-07
申请号：US17142854
申请日：2021-01-06
Applicant: Verizon Patent and Licensing Inc.
Inventor： Matthew Kapala , Hector A. Garcia Crespo , Sudha Subramaniam , Brian A. Ward , Brent D. Segner
Abstract: Systems described herein may allow for the intelligent configuration of containers onto virtualized resources. Different configurations may be generated based on the simulation of alternate placements of containers onto nodes, where the placement of a particular container onto a particular node may serve as a root for several branches which may themselves simulate the placement of additional containers on the node (in addition to the container(s) indicated in the root). Once a set of configurations are generated, a particular configuration may be selected according to determined selection parameters and/or intelligent selection techniques.
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公开(公告)号：US20210248015A1
公开(公告)日：2021-08-12
申请号：US17142854
申请日：2021-01-06
Applicant: Verizon Patent and Licensing Inc.
Inventor： Matthew Kapala , Hector A. Garcia Crespo , Sudha Subramaniam , Brian A. Ward , Brent D. Segner
Abstract: Systems described herein may allow for the intelligent configuration of containers onto virtualized resources. Different configurations may be generated based on the simulation of alternate placements of containers onto nodes, where the placement of a particular container onto a particular node may serve as a root for several branches which may themselves simulate the placement of additional containers on the node (in addition to the container(s) indicated in the root). Once a set of configurations are generated, a particular configuration may be selected according to determined selection parameters and/or intelligent selection techniques.
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10.发明授权公开(公告)号：US10970127B1
公开(公告)日：2021-04-06
申请号：US16788000
申请日：2020-02-11
Applicant: Verizon Patent and Licensing Inc.
Inventor： Eric Freeman , Hector A. Garcia Crespo , Matthew Kapala , Brent D. Segner
Abstract: Systems described herein may allow for the intelligent configuration of containers onto virtualized resources. As described, systems described herein may generate configurations based on received parameters for utilization to configure (e.g., install, instantiate, etc.) virtualized resources. Once generated, a configuration may be selected according to determined selection parameters and/or intelligent selection techniques.
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