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Event processing is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events), and deriving a conclusion from them. Complex event processing, or CEP, is event processing that combines data from multiple sources to infer events or patterns that suggest more complicated circumstances. The goal of complex event processing is to identify meaningful events (such as opportunities or threats) and respond to them as quickly as possible. These events may be happening across the various layers of an organization as sales leads, orders or customer service calls. Or, they may be news items, text messages, social media posts, stock market feeds, traffic reports, weather reports, or other kinds of data. An event may also be defined as a "change of state," when a measurement exceeds a predefined threshold of time, temperature, or other value. Analysts suggest that CEP will give organizations a new way to analyze patterns in real-time and help the business side communicate better with IT and service departments. The vast amount of information available about events is sometimes referred to as the event cloud. ==Conceptual description== Among thousands of incoming events, a monitoring system may for instance receive the following three from the same source: # church bells ringing. # the appearance of a man in a tuxedo with a woman in a flowing white gown. # rice flying through the air. From these events the monitoring system may infer a ''complex event'': a wedding. CEP as a technique helps discover complex events by analyzing and correlating other events:〔D. Luckham, "The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems", Addison-Wesley, 2002.〕 the bells, the man and woman in wedding attire and the rice flying through the air. CEP relies on a number of techniques,〔O. Etzion and P. Niblett, "Event Processing in Action", Manning Publications, 2010.〕 including: * Event-pattern detection * Event abstraction * Event filtering * Event aggregation and transformation * Modeling event hierarchies * Detecting relationships (such as causality, membership or timing) between events * Abstracting event-driven processes Commercial applications of CEP exist in variety of industries and include algorithmic stock-trading,〔(Complex Event Processing for Trading ), FIXGlobal, June 2011〕 the detection of credit-card fraud, business activity monitoring, and security monitoring.〔 (Details of commercial products and use cases )〕 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Complex event processing」の詳細全文を読む スポンサード リンク
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