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Reactive Rules-Based Dependency Resolution for Monitoring Dynamic Environments

机译:基于反应规则的依赖性解决方法,用于监控动态环境

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Monitoring systems commonly use data dependencies and are very often required to have real-time, or near real-time, capabilities. Resolution of dependencies using a reactive rule engine is an evident choice, since it provides inherent real-time characteristics.We introduce the novel approach taken by Active Dependency Integration (ADI) technology in using reactive rules for dependency resolution, i.e., for the purpose of calculating an updated value using the value elements on which it depends. The salient property of this approach is that it demonstrates autonomic behavior. The set of reactive rules used for dependency resolution does not depend on the model for which it provides dependency resolution. The same rules handle every dependency model and support dynamic models, where elements may be added or deleted, without having to change any code or rule definitions, or stop the monitoring for manual system reconfiguration and redeployment. The rules are implemented in AMIT, an event-driven rule engine.
机译:监控系统通常使用数据依赖性,并且通常需要具有实时或近实时功能。使用反应性规则引擎的依赖项分辨是一种明显的选择,因为它提供了固有的实时特征。我们介绍了使用反应规则进行依赖性分辨率的主动依赖性集成(ADI)技术采取的新方法,即使用依赖的值元素计算更新值。这种方法的突出性是它表明了自主行为。用于依赖性解析的一组反应规则不依赖于它提供依赖性解析的模型。相同的规则处理每个依赖性模型和支持动态模型,其中可以添加或删除元素,而无需更改任何代码或规则定义,或停止监控以进行手动系统重新配置和重新部署。规则在AMIT中实施了一个事件驱动的规则引擎。

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