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Querying event logs: Discovering non-events in event logs

机译:查询事件日志:在事件日志中发现非事件

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Nowadays companies are more complex than before. Processes are linked together and a lot of data stream through organizations. Every second hundreds or even thousands of events occur. Accordingly it becomes a very challenging job to find meaningful events, patterns or non-events. Continuous query languages can support end users to manage this infinite stream of events and aid to discover significant events. Particularly the search for expected events that didn't take place is important to prevent them of going by unnoticed. Finding these so-called non-events is a tremendous challenge for organizations because these events aren't registered. This paper investigates available tools and compares how these tools can be used to find such non-events with two different continuous query languages. From now on, even things that didn't happen, won't escape being noticed.
机译:如今的公司比以前更加复杂。进程通过组织连接在一起和大量数据流。每秒都有数百次甚至数千个事件发生。因此,它成为一个非常具有挑战性的工作,可以找到有意义的事件,模式或非事件。连续查询语言可以支持最终用户来管理此无限的事件流,并帮助发现重要事件。特别是搜索没有发生的预期事件,以防止他们不受伤的是重要的。找到这些所谓的非事件是对组织的巨大挑战,因为这些事件未注册。本文调查了可用的工具,并比较了这些工具如何用于查找具有两种不同的连续查询语言的此类非事件。从现在开始,甚至没有发生的事情,不会被注意到。

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