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    Systems and methods providing event data
    1.
    发明授权
    Systems and methods providing event data 有权
    提供事件数据的系统和方法

    公开(公告)号：US09218437B1

    公开(公告)日：2015-12-22

    申请号：US14040617

    申请日：2013-09-27

    Applicant: AMAZON TECHNOLOGIES, INC.

    Inventor： Gregory Richard Swensen ,  Melissa Elaine Davis ,  Miles Childs Kaufmann ,  Thomas Lowell Keller ,  Muhammad Ali Siddiqui ,  Amos Dylan Vance

    IPC: G06F15/16 ,  G06F21/60 ,  G06F17/30

    CPC classification number: G06F17/30516

    Abstract: Computer applications may generate a large volume of different types of record data. In one example, the large volume of record data may represent millions of different processes occurring every second. Described herein are systems, methods and devices for generating parsed data based on the large volume of record data. The parsed data may be consumed by computing nodes within a designated amount of time from the generation of the record data.

    Abstract translation: 计算机应用程序可能会生成大量不同类型的记录数据。 在一个示例中，大量的记录数据可以代表每秒发生的数百万个不同的进程。 这里描述了用于基于大量记录数据产生解析数据的系统，方法和装置。 解析的数据可以由生成记录数据之后的指定时间内的计算节点消耗。

    REACTIVE AUTO-SCALING OF CAPACITY
    2.
    发明申请
    REACTIVE AUTO-SCALING OF CAPACITY 审中-公开
    反应自动调整能力

    公开(公告)号：US20150339169A1

    公开(公告)日：2015-11-26

    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

    IPC: G06F9/50 ,  H04L12/24 ,  H04L12/26

    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。

    Reactive auto-scaling of capacity
    5.
    发明授权
    Reactive auto-scaling of capacity 有权
    无功自动缩放容量

    公开(公告)号：US09112782B2

    公开(公告)日：2015-08-18

    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

    IPC: G06F9/46 ,  H04L12/24 ,  H04L29/08

    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。

    Predicting long-term computing resource usage
    6.
    发明授权
    Predicting long-term computing resource usage 有权
    预测长期计算资源的使用

    公开(公告)号：US09106589B2

    公开(公告)日：2015-08-11

    申请号：US14326300

    申请日：2014-07-08

    Applicant: Amazon Technologies, Inc.

    Inventor： Zhuo Zhang ,  Swaminathan Subramanian ,  Muhammad Ali Siddiqui

    IPC: G06F15/177 ,  G06F15/173 ,  G06F3/00 ,  H04L12/911 ,  G06F9/06

    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， 是未来的几个月或几年。 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。

    ANOMALY DETECTION SERVICE
    9.
    发明申请
    ANOMALY DETECTION SERVICE 审中-公开
    异常检测服务

    公开(公告)号：US20150227409A1

    公开(公告)日：2015-08-13

    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

    IPC: G06F11/07 ,  H04L12/26

    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.

    Abstract translation: 提供了系统和方法，用于分析监控的度量源的运行度量。 本公开的方面可以呈现用于与所监视的度量标准源相关联的显示信息以及其操作度量的分析。 分析包括确定参考值和公差水平，其表示与参考值的允许偏差。 输入数据包括测量操作参数和时间戳。 输入数据可以保存到数据存储器中，以便将来分析其他输入数据。 当确定输入数据超出容限级别时，可能会发出通知以警告管理员或系统的异常。

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