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Querying event logs: Discovering non-events in event logs

机译:查询事件日志:发现事件日志中的非事件

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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,公司比以前更加复杂。流程链接在一起,并且组织中有大量数据流。每秒钟发生数百甚至数千个事件。因此,找到有意义的事件,模式或非事件成为一项非常具有挑战性的工作。连续查询语言可以支持最终用户管理无限的事件流,并有助于发现重大事件。特别是对于未发生的预期事件的搜索对于防止意外事件的发生很重要。对于组织而言,找到这些所谓的非事件是一项巨大的挑战,因为这些事件尚未注册。本文研究了可用的工具,并比较了如何使用这些工具通过两种不同的连续查询语言查找此类非事件。从现在开始,即使未发生的事情也无法逃脱。

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