A framework for information systems architecture
IBM Systems Journal
Extending and formalizing the framework for information systems architecture
IBM Systems Journal
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
Patterns of Enterprise Application Architecture
Patterns of Enterprise Application Architecture
Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
Distributed Event-Based Systems
Distributed Event-Based Systems
A Graphical Notation for Modeling Complex Events in Business Processes
EDOC '07 Proceedings of the 11th IEEE International Enterprise Distributed Object Computing Conference
Event-processing network model and implementation
IBM Systems Journal
Complex events in business processes
BIS'07 Proceedings of the 10th international conference on Business information systems
User-oriented rule management for event-based applications
Proceedings of the 5th ACM international conference on Distributed event-based system
Mastering real-time big data with stream processing chains
XRDS: Crossroads, The ACM Magazine for Students - Big Data
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In the automation industry an increasing need for integration exists, spanning from field level to enterprise resource planning. An important requirement is the adaptability of the involved production processes, because industry must be able to react quickly to new situations and challenges. Complex Event Processing (CEP) is a promising technology to detect and react to such situations. However, current approaches for CEP often mix the derivation of high-level business events with their interpretation and follow a bottom - up development that is not focused on Key Performance Indicators (KPIs). Consequently, maintainability and the required adaptability are hard to achieve. In this paper, we investigate the separation of two viewpoints in a CEP application: i) modeling critical business situations with the reactions to be taken and ii) aggregation of the necessary base data to distill key performance indicators. Additionally, we present a methodology for the engineering of these viewpoints. This gives guidance for the development of the underlying eventing infrastructure and provides a goal/KPI-oriented approach.