一种面向流处理的语义复杂事件处理框架

Rose Yemson, Savas Konur, D. Thakker
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引用次数: 3

摘要

流事件在各个行业都在增加,应用程序需要快速分析数据以进行实时检测。同时来自多个传感器的大量数据流为即时决策带来了新的挑战,因此需要高效的事件处理、事件检测、模式、本体、定义和行为规则。这项工作的目标是开发一个将SCEP集成到传统CEP引擎中的框架。该方法旨在解决复杂事件的实时检测问题,因为它也具有检测事件异常的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Semantic Complex Event Processing Framework for Streaming Processing
Streaming events are on the increase in various industries, with applications needing data analysed rapidly for real-time detection. A large amount of data from multiple sensors streamed simultaneously is creating a new challenge for instantaneous decision making hence necessitating the need for a highly efficient event processing, detection of events, patterns, ontologies, definition and behaviour rules.The objective of this work is to develop a framework that integrates SCEP into the traditional CEP engine. The approach proposes to address real-time detection of complex events as it occurs also with the ability to detect anomalies of events.
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