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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：US11409796B1
公开(公告)日：2022-08-09
申请号：US16140243
申请日：2018-09-24
Applicant: Amazon Technologies, Inc.
Inventor： Mihir Sadruddin Surani , Roberto Pentz De Faria , Mohit Gupta , Yuxuan Liu , Leslie Johann Lamprecht , John Merrill Phillips , John David Dunagan , Malcolm Featonby
IPC: G06F16/00 , G06F16/901 , G06F21/62 , G06F16/23 , G06F16/907
Abstract: A database service that receives and manages time series data into a set of generational data tables. The database service generates a set of generational data tables configured to receive a subset of time series data. Each generational data table is created with an initial set of access parameters that facilitates the receipt of incoming time series data. Thereafter, the database service creates additional generational data tables to receive the continuous received time series data and then modifies the access parameters of the previously created data table, such as for read only rights.
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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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Patent Agency Ranking
6.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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公开(公告)号：US11194688B1
公开(公告)日：2021-12-07
申请号：US16406354
申请日：2019-05-08
Applicant: Amazon Technologies, Inc.
Inventor： Malcolm Featonby , Jacob Adam Gabrielson , Kai Fan Tang , John Merrill Phillips , Leslie Johann Lamprecht , Letian Feng , Roberto Pentz De Faria
Abstract: Techniques for an optimization service of a service provider network to generate an architecture diagram that represents an architecture of a web-based application. The optimization service may use the architecture diagram to determine modifications or changes to make to the application. For example, the optimization service may compare the architecture diagram with optimized architecture diagrams that represent application best practices, and determine the modifications or change to make to the application to optimize the application and bring the application in-line with best practices. Further, the optimization service may use the architecture diagram to generate a visualization, and provide the user account with the visualization of the architecture diagram to show users their application architecture.
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公开(公告)号：US10884778B1
公开(公告)日：2021-01-05
申请号：US16147405
申请日：2018-09-28
Applicant: Amazon Technologies, Inc.
Inventor： John David Dunagan , Mohit Gupta , Mihir Sadruddin Surani , Yuxuan Liu , Les Johann Lamprecht , John Merrill Phillips , Malcolm Featonby , Roberto Pentz De Faria , Erik Quanstrom , James Rigby , Ethan Faust , Wenbo Bu
Abstract: Techniques for managing dynamically scalable virtualized compute instances within a provider network are described. A dynamically scalable instance has a baseline performance level and a maximum performance level associated with a computing resource, such as a processor, a memory, a network interface, etc. In response to receive a request to launch a dynamically scalable instance, one or more services select a computer system to host the requested instance from a pool of instance-hosting computer systems of a provider network. The instance-hosting computer systems include a monitoring agent that reports computing resource usage data to the one or more services. The one or more services monitor the resource usage of the instance-hosting computer systems and migrate instances so that the dynamically scalable instances can operate up to the maximum level of performance.
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9.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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