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TECHNIQUES FOR POLICY-CONTROLLED ANALYTIC DATA COLLECTION IN LARGE-SCALE SYSTEMS

机译:大型系统中策略控制的分析数据收集技术

摘要

Exemplary techniques for policy-controlled analytic data collection in large-scale systems are described. A policy engine receives predicate/action pairs and an alerts policy, each predicate identifying an operating condition at a reporting module that can be evaluated as true or false, and a corresponding action identifying what the reporting module is to do upon the corresponding predicate being evaluated as true. The policy engine provides the predicate/action pairs to reporting modules to be installed as rules, which generate analytic data vectors and apply those vectors against the rules. The actions may cause the reporting modules to send the analytic data vectors as analytic report data to an analytics engine, which has been configured with the alerts policy received by the policy engine. The analytics engine applies received analytic report data against the alerts policy to determine whether to send alert event data to the policy engine or to perform a responsive action.
机译:描述了用于大规模系统中策略控制的分析数据收集的示例性技术。策略引擎接收谓词/操作对和警报策略,每个谓词在报告模块上标识可被评估为是或假的运行状况,以及相应的动作,该操作标识报告模块在评估相应谓词后将执行的操作确实如此。策略引擎将谓词/操作对提供给要作为规则安装的报告模块,以生成分析数据向量并将这些向量应用于规则。这些动作可能导致报告模块将分析数据向量作为分析报告数据发送到分析引擎,该分析引擎已配置有策略引擎接收到的警报策略。分析引擎针对警报策略应用收到的分析报告数据,以确定是将警报事件数据发送到策略引擎还是执行响应操作。

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