面向企业系统服务有效监控的复杂事件模型设计

D. Kum, Nam-Yong Lee
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引用次数: 0

摘要

在当今竞争激烈的商业环境中,每个企业都必须灵活应变。出于这些目的,对企业提供的服务进行运行时监控并通过此进行早期决策成为企业的核心竞争。此外,为了处理企业系统上产生的无数事件,需要对有意义的数据进行过滤的技术。然而,与此相关的现有研究仅仅是通过依赖BPEL引擎或中间件的API进行监视来发现服务故障,或者仅仅是基于低级事件处理简单事件。因此,提供有用的业务信息将受到限制。本文通过情境检测提出了一种扩展的复杂事件模型,可以提供更有价值和有用的业务信息。具体而言,首先提出了企业系统中的事件处理体系结构,并定义了适合于该体系结构的事件元模型。在定义元模型的基础上,给出了事件处理语言中各种递进式事件操作符、复杂事件模式、键等结构的语法和语义。此外,还提出了一种事件上下文机制来分析更微妙的事件。最后,通过应用研究,展示本研究的应用可能性,并通过与其他事件模型的比较,展示本事件模型的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Design of a Complex Event Model for Effective Service Monitoring in Enterprise Systems
In recent competitive business environment each enterprise has to be agile and flexible. For these purposes run-time monitoring of services provided by an enterprise and early decision making through this becomes core competition of the enterprise. In addition, in order to process various innumerable events which are generated on enterprise systems techniques which make filtering of meaningful data are needed. However, the existing study related with this is nothing but discovering of service faults by monitoring depending upon API of BPEL engine or middleware, or is nothing but processing of simple events based on low-level events. Accordingly, there would be limitations to provide useful business information. In this paper, through situation detection an extended complex event model is presented, which is possible to provide more valuable and useful business information. Concretely, first of all an event processing architecture in an enterprise system is proposed, and event meta-model which is suitable to the proposed architecture is going to be defined. Based on the defined meta-model, It is presented that syntax and semantics of constructs in our event processing language including various and progressive event operators, complex event pattern, key, etc. In addition, an event context mechanism is proposed to analyze more delicate events. Finally, through application studies application possibility of this study would be shown and merits of this event model would be present through comparison with other event model.
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