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    SYSTEM AND METHOD FOR DETERMINING FUZZY CAUSE AND EFFECT RELATIONSHIPS IN AN INTELLIGENT WORKLOAD MANAGEMENT SYSTEM
    9.
    发明申请
    SYSTEM AND METHOD FOR DETERMINING FUZZY CAUSE AND EFFECT RELATIONSHIPS IN AN INTELLIGENT WORKLOAD MANAGEMENT SYSTEM 失效
    用于确定智能原因的系统和方法以及智能工作负载管理系统中的影响关系

    公开(公告)号：US20120130936A1

    公开(公告)日：2012-05-24

    申请号：US12952314

    申请日：2010-11-23

    申请人： Jeremy Brown ,  Jason Allen Sabin ,  Nathaniel Brent Kranendonk ,  Kal A. Larsen ,  Lloyd Leon Burch ,  Michael Fairbanks ,  Michael Jorgensen ,  Thomas Larry Biggs

    发明人： Jeremy Brown ,  Jason Allen Sabin ,  Nathaniel Brent Kranendonk ,  Kal A. Larsen ,  Lloyd Leon Burch ,  Michael Fairbanks ,  Michael Jorgensen ,  Thomas Larry Biggs

    IPC分类号： G06N5/02 ,  G06N7/02

    CPC分类号： G06N7/02 ,  G06N5/048 ,  G06Q10/0633

    摘要： The system and method for determining fuzzy cause and effect relationships in an intelligent workload management system described herein may combine potential causes and effects captured from various different sources associated with an information technology infrastructure with substantially instantaneous feedback mechanisms and other knowledge sources. As such, fuzzy correlation logic may then be applied to the combined information to determine potential cause and effect relationships and thereby diagnose problems and otherwise manage interactions that occur in the infrastructure. For example, information describing potential causes and potential effects associated with an operational state of the infrastructure may be captured and combined, and any patterns among the information that describes the multiple potential causes and effects may then be identified. As such, fuzzy logic may the be applied to any such patterns to determine possible relationships among the potential causes and the potential effects associated with the infrastructure operational state.

    摘要翻译： 用于确定本文描述的智能工作负载管理系统中的模糊因果关系的系统和方法可以将从与信息技术基础设施相关联的各种不同来源捕获的潜在原因和效果与基本上即时的反馈机制和其他知识源组合。 因此，然后可以将模糊相关逻辑应用于组合信息以确定潜在的因果关系，从而诊断问题并以其他方式管理基础设施中发生的交互。 例如，可以捕获和组合描述与基础设施的操作状态相关联的潜在原因和潜在效果的信息，并且然后可以识别描述多个潜在原因和效果的信息中的任何模式。 因此，模糊逻辑可以应用于任何这样的模式，以确定潜在原因与与基础设施操作状态相关联的潜在效应之间的可能关系。

    System and method for determining fuzzy cause and effect relationships in an intelligent workload management system
    10.
    发明授权
    System and method for determining fuzzy cause and effect relationships in an intelligent workload management system 失效
    在智能工作负载管理系统中确定模糊因果关系的系统和方法

    公开(公告)号：US08620851B2

    公开(公告)日：2013-12-31

    申请号：US12952314

    申请日：2010-11-23

    申请人： Jeremy Brown ,  Jason Allen Sabin ,  Nathaniel Brent Kranendonk ,  Kal A. Larsen ,  Lloyd Leon Burch ,  Michael Fairbanks ,  Michael Jorgensen ,  Thomas Larry Biggs

    发明人： Jeremy Brown ,  Jason Allen Sabin ,  Nathaniel Brent Kranendonk ,  Kal A. Larsen ,  Lloyd Leon Burch ,  Michael Fairbanks ,  Michael Jorgensen ,  Thomas Larry Biggs

    IPC分类号： G06N5/02 ,  G06N7/02

    CPC分类号： G06N7/02 ,  G06N5/048 ,  G06Q10/0633

    摘要： The system and method for determining fuzzy cause and effect relationships in an intelligent workload management system described herein may combine potential causes and effects captured from various different sources associated with an information technology infrastructure with substantially instantaneous feedback mechanisms and other knowledge sources. As such, fuzzy correlation logic may then be applied to the combined information to determine potential cause and effect relationships and thereby diagnose problems and otherwise manage interactions that occur in the infrastructure. For example, information describing potential causes and potential effects associated with an operational state of the infrastructure may be captured and combined, and any patterns among the information that describes the multiple potential causes and effects may then be identified. As such, fuzzy logic may the be applied to any such patterns to determine possible relationships among the potential causes and the potential effects associated with the infrastructure operational state.

    摘要翻译： 用于确定本文描述的智能工作负载管理系统中的模糊因果关系的系统和方法可以将从与信息技术基础设施相关联的各种不同来源捕获的潜在原因和效果与基本上即时的反馈机制和其他知识源组合。 因此，然后可以将模糊相关逻辑应用于组合信息以确定潜在的因果关系，从而诊断问题并以其他方式管理基础设施中发生的交互。 例如，可以捕获和组合描述与基础设施的操作状态相关联的潜在原因和潜在效果的信息，并且然后可以识别描述多个潜在原因和效果的信息中的任何模式。 因此，模糊逻辑可以应用于任何这样的模式，以确定潜在原因与与基础设施操作状态相关联的潜在效应之间的可能关系。