Complex event processing enrichment: Motivations and challenges

Alaa Alakari, K. F. Li, F. Gebali
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Abstract

The complex event processing paradigm (CEP) has been introduced to detect and react to incoming events in many situations that require near real-time responses, though early detection and reaction to emerging scenarios is desirable and is an active research topic. One approach is to enrich CEP systems in a timely manner from diverse and heterogeneous knowledge sources. CEP enrichment is required to cope with today's business demands such as situational awareness while considering real-time constraints including low latency and high throughput. Existing studies either focus on surveying and evaluating techniques and approaches, or concentrate on specific challenges and requirements relevant to complex event enrichment. To our knowledge, none of these studies focus on motivations behind complex event enrichment and related general challenges. This paper aims to provide an in-depth and formal description on the rationales behind enriching CEP systems with external knowledge, and to investigate in existing literature, the correlation between these motivations and approaches to tackle the problems. In addition, challenges faced by complex event enrichment related to these motivations and approaches are highlighted and discussed.
复杂事件处理丰富:动机和挑战
复杂事件处理范式(CEP)已经被引入,用于在许多需要近实时响应的情况下检测和响应传入事件,尽管早期检测和响应新出现的场景是可取的,并且是一个活跃的研究主题。一种方法是及时地从各种异构的知识来源中丰富CEP系统。在考虑实时约束(包括低延迟和高吞吐量)的同时,需要对CEP进行充实,以应对当今的业务需求,例如态势感知。现有的研究要么集中在调查和评估技术和方法上,要么集中在与复杂事件丰富相关的具体挑战和需求上。据我们所知,这些研究都没有关注复杂事件丰富背后的动机和相关的一般挑战。本文旨在对利用外部知识丰富CEP系统背后的基本原理进行深入而正式的描述,并在现有文献中调查这些动机与解决问题的方法之间的相关性。此外,本文还强调并讨论了与这些动机和方法相关的复杂事件富集所面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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