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公开(公告)号：US09021606B1
公开(公告)日：2015-04-28
申请号：US14040610
申请日：2013-09-27
Applicant: Amazon Technologies, Inc.
Inventor： Miles Childs Kaufmann , Melissa Elaine Davis , Thomas Lowell Keller , Muhammad Ali Siddiqui , Gregory Richard Swensen , Amos Dylan Vance
CPC classification number: G06F21/60 , G06F17/2264 , G06Q30/0251 , G06Q30/0267
Abstract: Computer applications may generate event data based on a large volume of different types of record data. Described herein are systems, methods, and devices for enabling a computing node to implement new functions for dynamically consuming the event data. In one example, the computing node may implement a new function using an expression language, without modifying predefined hard coded functions.
Abstract translation: 计算机应用程序可以基于大量不同类型的记录数据生成事件数据。 这里描述了使得计算节点能够实现用于动态消耗事件数据的新功能的系统，方法和设备。 在一个示例中，计算节点可以使用表达式语言实现新功能，而不修改预定义的硬编码功能。
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公开(公告)号：US20150026348A1
公开(公告)日：2015-01-22
申请号：US14506453
申请日：2014-10-03
Applicant: Amazon Technologies, Inc.
Inventor： Muhammad Ali Siddiqui , Kendra A. Yourtee , Alexander S. Borst , Sanjeev K. Verma , Gregory Suhyun Kang , Josh M. Goodspeed , Thomas L. Keller
CPC classification number: H04L41/0896 , G06F9/46 , G06F9/5027 , G06F9/5061 , G06F9/5077 , G06F2209/5019 , G06F2209/508 , H04L43/0894 , H04L67/10 , H04L67/16
Abstract: Examples of systems and methods are described for managing computing capacity by a provider of computing resources. The computing resources may include program execution capabilities, data storage or management capabilities, network bandwidth, etc. Multiple user programs can consume a single computing resource, and a single user program can consume multiple computing resources. Changes in usage and other environmental factors can require scaling of the computing resources to reduce or prevent a negative impact on performance. In some implementations, a fuzzy logic engine can be used to determine the appropriate adjustments to make to the computing resources associated with a program in order to keep a system metric within a desired operating range.
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13.发明授权公开(公告)号：US08745218B1
公开(公告)日：2014-06-03
申请号：US13711451
申请日：2012-12-11
Applicant: Amazon Technologies, Inc.
Inventor： Joshua M. Goodspeed , Zhuo Zhang , Swaminathan Subramanian , Muhammad Ali Siddiqui
IPC: G06F15/173
CPC classification number: G06F9/5083 , G06F2209/5019 , G06F2209/508 , G06Q30/02
Abstract: Techniques are described for managing program execution capacity or other capacity of computing-related hardware resources used to execute software programs, such as for a group of computing nodes that is in use executing one or more programs for a user. Dynamic modifications to the program execution capacity of the group may include adding or removing computing nodes, such as in response to automated determinations that previously specified triggers are currently satisfied, and may be automatically governed at particular times based on automatically generated predictions of program execution capacity that will be used at those times by the group, such as to verify that requested dynamic execution capacity modifications at a time are within the predicted execution capacity values for that time. In some situations, the techniques are used in conjunction with a fee-based program execution service that executes multiple programs on behalf of multiple users of the service.
Abstract translation: 描述了用于管理程序执行能力或用于执行软件程序的计算相关硬件资源的其他容量的技术，例如对于正在使用的一组计算节点，用于为用户执行一个或多个程序。 对组的程序执行能力的动态修改可以包括添加或删除计算节点，例如响应于先前指定的触发器当前满足的自动确定，并且可以基于自动生成的程序执行能力的预测在特定时间自动地管理 这将被组合在这些时间使用，例如以验证一次所请求的动态执行能力修改是否处于该时间的预测执行能力值内。 在某些情况下，这些技术与代表服务的多个用户执行多个程序的费用程序执行服务结合使用。
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公开(公告)号：US10216560B2
公开(公告)日：2019-02-26
申请号：US15256448
申请日：2016-09-02
Applicant: Amazon Technologies, Inc.
Inventor： Mathias G. Ricken , Arthur Carré , Miles C. Kaufmann , Aaron T. Olds , Muhammad Ali Siddiqui , Sanjeev K. Verma , Kendra A. Yourtee
Abstract: Systems and methods are provided for analyzing operating metrics of monitored metric sources. Aspects of the present disclosure may present for display information associated with the monitored metric source and the analysis of its operating metrics. Analysis comprises determination of reference values and tolerance levels which represent allowable deviations from the reference values. Input data includes a measurement of an operating parameter and a time stamp. Input data may be saved to a data store for using in future analysis of other input data. When input data is determined to be outside the tolerance level, notifications may be issued to alert administrators or systems of the anomaly.
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Patent Agency Ranking
公开(公告)号：US09571347B2
公开(公告)日：2017-02-14
申请号：US14804625
申请日：2015-07-21
Applicant: Amazon Technologies, Inc.
Inventor： Muhammad Ali Siddiqui , Kendra A. Yourtee , Alexander S. Borst , Sanjeev K. Verma , Gregory Suhyun Kang , Josh M. Goodspeed , Thomas L. Keller
CPC classification number: H04L41/0896 , G06F9/46 , G06F9/5027 , G06F9/5061 , G06F9/5077 , G06F2209/5019 , G06F2209/508 , H04L43/0894 , H04L67/10 , H04L67/16
Abstract: Examples of systems and methods are described for managing computing capacity by a provider of computing resources. The computing resources may include program execution capabilities, data storage or management capabilities, network bandwidth, etc. Multiple user programs can consume a single computing resource, and a single user program can consume multiple computing resources. Changes in usage and other environmental factors can require scaling of the computing resources to reduce or prevent a negative impact on performance. In some implementations, a fuzzy logic engine can be used to determine the appropriate adjustments to make to the computing resources associated with a program in order to keep a system metric within a desired operating range.
Abstract translation: 描述了用于由计算资源的提供者管理计算能力的系统和方法的示例。 计算资源可以包括程序执行能力，数据存储或管理能力，网络带宽等。多个用户程序可以消耗单个计算资源，单个用户程序可以消耗多个计算资源。 使用和其他环境因素的变化可能需要扩展计算资源，以减少或防止对性能的负面影响。 在一些实现中，可以使用模糊逻辑引擎来确定对与程序相关联的计算资源进行适当的调整，以便将系统度量保持在期望的操作范围内。
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公开(公告)号：US09436535B2
公开(公告)日：2016-09-06
申请号：US14691479
申请日：2015-04-20
Applicant: Amazon Technologies, Inc.
Inventor： Mathias G. Ricken , Arthur Carré , Miles C. Kaufmann , Aaron T. Olds , Muhammad Ali Siddiqui , Sanjeev K. Verma , Kendra A. Yourtee
CPC classification number: G06F11/0754 , G06F11/0709 , G06F11/0769 , G06F11/0772 , G06F11/079 , G06F11/3006 , G06F11/3065 , G06F11/3409 , G06F11/3433 , G06F11/3452 , G06F11/3495 , G06F19/00 , G06F2201/81 , H04L43/045
Abstract: Systems and methods are provided for analyzing operating metrics of monitored metric sources. Aspects of the present disclosure may present for display information associated with the monitored metric source and the analysis of its operating metrics. Analysis comprises determination of reference values and tolerance levels which represent allowable deviations from the reference values. Input data includes a measurement of an operating parameter and a time stamp. Input data may be saved to a data store for using in future analysis of other input data. When input data is determined to be outside the tolerance level, notifications may be issued to alert administrators or systems of the anomaly.
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公开(公告)号：US09361379B1
公开(公告)日：2016-06-07
申请号：US14040615
申请日：2013-09-27
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Muhammad Ali Siddiqui , Melissa Elaine Davis , Miles Childs Kaufmann , Thomas Lowell Keller , Gregory Richard Swensen , Amos Dylan Vance
CPC classification number: G06F17/3071 , G06F17/30867 , G06F17/30876
Abstract: Computer applications may generate event data based on a large volume of different types of record data. Described herein are systems, methods and devices for providing website recommendations using the event data. In one example, using the event data, a computing node generates the website recommendations within a designated amount of time after the generation of the record data.
Abstract translation: 计算机应用程序可以基于大量不同类型的记录数据生成事件数据。 这里描述的是使用事件数据提供网站建议的系统，方法和设备。 在一个示例中，使用事件数据，计算节点在生成记录数据之后的指定的时间内生成网站建议。
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公开(公告)号：US20140325072A1
公开(公告)日：2014-10-30
申请号：US14326300
申请日：2014-07-08
Applicant: Amazon Technologies, Inc.
Inventor： Zhuo Zhang , Swaminathan Subramanian , Muhammad Ali Siddiqui
IPC: H04L12/911
CPC classification number: H04L47/823 , G06F9/06 , G06F9/505 , G06F2209/5019
Abstract: Techniques are described for performing automated predictions of program execution capacity or other capacity of computing-related hardware resources that will be used to execute software programs in the future, such as for a group of computing nodes that execute one or more programs for a user. The predictions that are performed may in at least some situations be based on historical data regarding corresponding prior actual usage of execution-related capacity (e.g., for one or more prior years), and may include long-term predictions for particular future time periods that are multiple months or years into the future. In addition, the predictions of the execution-related capacity for particular future time periods may be used in various manners, including to manage execution-related capacity at or before those future time periods, such as to prepare sufficient execution-related capacity to be available at those future time periods.
Abstract translation: 描述了用于执行将用于执行将来的软件程序的程序执行能力或计算相关硬件资源的其他容量的自动预测的技术，例如对于为用户执行一个或多个程序的一组计算节点。 所执行的预测可以在至少一些情况下基于关于执行相关能力的相应的先前实际使用的历史数据（例如，对于一个或多个以前的年份），并且可以包括对于特定未来时间段的长期预测， 是未来几个月或几年。 此外，可以以各种方式使用对特定未来时间段的执行相关能力的预测，包括在该未来时间段之前或之前管理与执行相关的能力，例如准备足够的与执行相关的能力可用 在那些未来的时期。
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公开(公告)号：US08812646B1
公开(公告)日：2014-08-19
申请号：US13937036
申请日：2013-07-08
Applicant: Amazon Technologies, Inc.
Inventor： Zhuo Zhang , Swaminathan Subramanian , Muhammad Ali Siddiqui
IPC: G06F15/177 , G06F15/173 , G06F3/00
CPC classification number: H04L47/823 , G06F9/06 , G06F9/505 , G06F2209/5019
Abstract: Techniques are described for performing automated predictions of program execution capacity or other capacity of computing-related hardware resources that will be used to execute software programs in the future, such as for a group of computing nodes that execute one or more programs for a user. The predictions that are performed may in at least some situations be based on historical data regarding corresponding prior actual usage of execution-related capacity (e.g., for one or more prior years), and may include long-term predictions for particular future time periods that are multiple months or years into the future. In addition, the predictions of the execution-related capacity for particular future time periods may be used in various manners, including to manage execution-related capacity at or before those future time periods, such as to prepare sufficient execution-related capacity to be available at those future time periods.
Abstract translation: 描述了用于执行将用于执行将来的软件程序的程序执行能力或计算相关硬件资源的其他容量的自动预测的技术，例如对于为用户执行一个或多个程序的一组计算节点。 所执行的预测可以在至少一些情况下基于关于执行相关能力的相应的先前实际使用的历史数据（例如，对于一个或多个以前的年份），并且可以包括对于特定未来时间段的长期预测， 是未来几个月或几年。 此外，可以以各种方式使用对特定未来时间段的执行相关能力的预测，包括在该未来时间段之前或之前管理与执行相关的能力，例如准备足够的与执行相关的能力可用 在那些未来的时期。
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