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System and method for determining fuzzy cause and effect relationships in an intelligent workload management system

机译:在智能工作量管理系统中确定模糊因果关系的系统和方法

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.
机译:本文所述的用于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可以将从与信息技术基础设施相关联的各种不同源捕获的潜在因果与基本瞬时的反馈机制和其他知识源相结合。这样,然后可以将模糊相关逻辑应用于组合的信息,以确定潜在的因果关系,从而诊断问题并管理在基础结构中发生的交互。例如,可以捕获和组合描述与基础设施的运行状态相关联的潜在原因和潜在影响的信息,并且然后可以识别信息中描述多个潜在原因和影响的任何模式。这样,可以将模糊逻辑应用于任何这样的模式,以确定与基础设施运行状态相关联的潜在原因和潜在影响之间的可能关系。

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