用于定义和自动计算大量派生的离散度量的可配置系统

S. Nanni, G. Mazzini
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引用次数: 0

摘要

派生度量是在主要事件的基础上详细阐述的,因此需要一个从主要度量的单个值计算派生度量的函数。为了计算派生度量,有必要指定它所依赖的主要度量,并定义关联它们并允许其评估的依赖函数。在一些派生度量的情况下,在几十个范围内,派生度量的定义和配置阶段可以手动执行,通常通过使用离线过程。在复杂系统的情况下,处理数百个派生度量的转换,就有必要准备一个嵌入式自动过程,允许从主要度量开始自动定义大量派生度量,并根据预定的、可配置的和参数化的规则进行计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A configurable system for the definition and automatic calculation of a high number of derived discrete measures
A derived measure is elaborated on the basis of primary events and therefore requires a function that calculates it from the individual values of the primary measures. In order for a derived measure to be calculated, it is necessary to specify the primary measures on which it depends, and to define the dependency function that correlates them and allows its evaluation. In the case of a few derived measures, in the range of tens, the definition and configuration phases of the derived measures can be executed manually, typically through the use of an off-line procedure. In the case of complex systems, dealing with the transformation of hundreds of derived measures, it becomes necessary the preparation of an embedded automatic process, allowing automatic definition of a high number of derived measures, starting from the primary ones, and their calculation according to predetermined, configurable and parametrized rules.
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