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公开(公告)号：US11592989B1
公开(公告)日：2023-02-28
申请号：US17104820
申请日：2020-11-25
Applicant: Amazon Technologies, Inc.
Inventor： Mohit Gupta , Letian Feng , Leslie Johann Lamprecht
IPC: G06F3/06
Abstract: Features are disclosed for forecasting a usage of a block storage volume with a first configuration by a user. A computing device can forecast the usage of the block storage volume based on the historical usage of the block storage volume by the user. The computing device can determine additional potential configurations of the block storage volume. The computing device can further simulate the additional potential configurations of the block storage volume based on the forecasted usage of the block storage volume. The additional potential configurations may include a volume type, a volume size, or other volume characteristics. Based on the simulations of the additional potential configurations, the computing device may determine a recommended configuration. The computing device can dynamically modify the block storage volume based on the recommended configuration of the block storage volume.
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12.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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13.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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Patent Agency Ranking
14.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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15.发明授权公开(公告)号：US11372663B2
公开(公告)日：2022-06-28
申请号：US16367801
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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16.发明申请公开(公告)号：US20200314171A1
公开(公告)日：2020-10-01
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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17.发明申请公开(公告)号：US20200310853A1
公开(公告)日：2020-10-01
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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18.发明申请公开(公告)号：US20200310852A1
公开(公告)日：2020-10-01
申请号：US16367801
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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