ANOMALY DETECTION SERVICE
    1.
    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

    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。

    Reactive auto-scaling of capacity
    3.
    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

    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

    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
    7.
    发明授权
    Reactive auto-scaling of capacity 有权
    无功自动缩放容量

    公开(公告)号:US09571347B2

    公开(公告)日:2017-02-14

    申请号:US14804625

    申请日:2015-07-21

    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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