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1.发明授权公开(公告)号：US11128696B2
公开(公告)日：2021-09-21
申请号：US16367914
申请日：2019-03-28
Applicant: Amazon Technologies, Inc.
Inventor： Malcolm Featonby , Leslie Johann Lamprecht , John Merrill Phillips , Umesh Chandani , Roberto Pentz De Faria , Hou Liu , Ladan Mahabadi , Letian Feng
Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.
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公开(公告)号：US11068312B2
公开(公告)日：2021-07-20
申请号：US16368072
申请日：2019-03-28
Applicant: Amazon Technologies, Inc.
Inventor： Malcolm Featonby , Leslie Johann Lamprecht , John Merrill Phillips , Umesh Chandani , Roberto Pentz De Faria , Hou Liu , Ladan Mahabadi , Letian Feng
Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.
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公开(公告)号：US11360795B2
公开(公告)日：2022-06-14
申请号：US16367768
申请日：2019-03-28
Applicant: Amazon Technologies, Inc.
Inventor： Malcolm Featonby , Leslie Johann Lamprecht , John Merrill Phillips , Umesh Chandani , Roberto Pentz De Faria , Hou Liu , Ladan Mahabadi , Letian Feng
Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.
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公开(公告)号：US11138049B1
公开(公告)日：2021-10-05
申请号：US16449949
申请日：2019-06-24
Applicant: Amazon Technologies, Inc.
Inventor： Malcolm Featonby , John Merrill Phillips , Leslie Johann Lamprecht , Roberto Pentz De Faria , Hou Liu , Umesh Chandani , Ladan Mahabadi , Letian Feng
Abstract: Techniques for an optimization service of a service provider network to provide users with machine-generated narratives that include human-intelligible, credible, and transparent recommendations and rationales for recommended VM instance types. The optimization service may gather various information or data about the workload, such as utilization characteristics of the underlying computing resources, and decompose the workloads through a number of dimensions that can be used to describe the workload. Further, the optimization service may analyze the utilization characteristics and/or other data to determine more optimized VM instance types for the workloads that are to be recommended to the users, and also rationales that describes why each recommendation is an appropriate fit for the workload being assessed. Using this information, the optimization service may generate narratives that include a description of the workload behaviors and utilization patterns, a set of recommendations, and supporting narrative or rationales for each of the recommendations.
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5.发明授权公开(公告)号：US12135980B2
公开(公告)日：2024-11-05
申请号：US17861795
申请日：2022-07-11
Applicant: Amazon Technologies, Inc.
Inventor： Malcolm Featonby , Leslie Johann Lamprecht , John Merrill Phillips , Umesh Chandani , Roberto Pentz De Faria , Hou Liu , Ladan Mahabadi , Letian Feng
Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20200310876A1
公开(公告)日：2020-10-01
申请号：US16368072
申请日：2019-03-28
Applicant: Amazon Technologies, Inc.
Inventor： Malcolm Featonby , Leslie Johann Lamprecht , John Merrill Phillips , Umesh Chandani , Roberto Pentz De Faria , Hou Liu , Ladan Mahabadi , Letian Feng
Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.
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公开(公告)号：US20200310851A1
公开(公告)日：2020-10-01
申请号：US16367768
申请日：2019-03-28
Applicant: Amazon Technologies, Inc.
Inventor： Malcolm Featonby , Leslie Johann Lamprecht , John Merrill Phillips , Umesh Chandani , Roberto Pentz De Faria , Hou Liu , Ladan Mahabadi , Letian Feng
Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.
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8.发明申请公开(公告)号：US20220413891A1
公开(公告)日：2022-12-29
申请号：US17861795
申请日：2022-07-11
Applicant: Amazon Technologies, Inc.
Inventor： Malcolm Featonby , Leslie Johann Lamprecht , John Merrill Phillips , Umesh Chandani , Roberto Pentz De Faria , Hou Liu , Ladan Mahabadi , Letian Feng
Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.
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9.发明申请公开(公告)号：US20220291941A1
公开(公告)日：2022-09-15
申请号：US17752299
申请日：2022-05-24
Applicant: Amazon Technologies, Inc.
Inventor： Malcolm Featonby , Leslie Johann Lamprecht , John Merrill Phillips , Umesh Chandani , Roberto Pentz De Faria , Hou Liu , Ladan Mahabadi , Letian Feng
Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.
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10.发明授权公开(公告)号：US11385920B2
公开(公告)日：2022-07-12
申请号：US16367862
申请日：2019-03-28
Applicant: Amazon Technologies, Inc.
Inventor： Malcolm Featonby , Leslie Johann Lamprecht , John Merrill Phillips , Umesh Chandani , Roberto Pentz De Faria , Hou Liu , Ladan Mahabadi , Letian Feng
Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.
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