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

机译：用于确定模糊原因和智能工作负载管理系统中的效果关系的系统和方法

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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：用于确定本文描述的智能工作负载管理系统中的模糊原因和效果关系的系统和方法可以将与信息技术基础设施相关的各种不同源捕获的潜在原因和效果与基本上瞬时的反馈机制和其他知识源相结合。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原因和效果关系，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，可以捕获描述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，然后可以识别描述多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，以确定潜在原因之间的可能关系和与基础设施运行状态相关的潜在效果。

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