The Event Processing Network for Systematic Reduction of Interoperability Deviations in a Business Ecosystem

Daliborka Macinkovic, Vidan Marković
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Abstract

This work proposes the model of the event processing network for the systematic reduction of interoperability deviations in a business ecosystem. Complex event processing technology supports real-time events monitoring in collaborative business processes for the behaviors specified as interoperability deviations, generating alerts when such situations occur. As a reaction, alerts on interoperability deviations are delivered as personalized information to the right consumer as a designated collaboration partner. The event processing network enables collaboration partners to be proactive in interoperability deviations and to eliminate the impact of interoperability deviations on the business process objectives in the business ecosystem. In observing the data as events about realized collaborative business processes during this research, characteristic patterns of events were discovered. The logic for event processing was specified for the systematic reduction of interoperability deviations in the business ecosystem. This work proposes two processes with phases to facilitate the development of the proposed event processing network in a business ecosystem. The logic for event processing was applied through data streams from the public administration and health care systems in collaboration.
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系统减少商业生态系统互操作性偏差的事件处理网络
这项工作提出了一个事件处理网络模型,用于系统地减少商业生态系统中的互操作性偏差。复杂事件处理技术可支持对协作业务流程中指定为互操作性偏差的行为进行实时事件监控,并在发生此类情况时发出警报。作为一种反应,有关互操作性偏差的警报会以个性化信息的形式发送给指定协作伙伴的正确消费者。事件处理网络使协作伙伴能够主动应对互操作性偏差,并消除互操作性偏差对业务生态系统中业务流程目标的影响。在这项研究中,通过观察有关已实现协作业务流程的事件数据,发现了事件的特征模式。为系统地减少业务生态系统中的互操作性偏差,指定了事件处理逻辑。这项工作提出了两个分阶段的流程,以促进拟议的事件处理网络在业务生态系统中的发展。事件处理逻辑通过来自公共管理和医疗保健系统的数据流进行了应用。
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