Slipstream: architecture options for real-time process analytics
Proceedings of the 2011 ACM Symposium on Applied Computing
A blueprint for event-driven business activity management
BPM'11 Proceedings of the 9th international conference on Business process management
ServiceWave'11 Proceedings of the 4th European conference on Towards a service-based internet
History-aware, real-time risk detection in business processes
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part I
A lightweight and extensible Complex Event Processing system for sense and respond applications
Expert Systems with Applications: An International Journal
Real-time risk monitoring in business processes: A sensor-based approach
Journal of Systems and Software
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As the amount of data generated by today's pervasive environments increases exponentially, there is a stronger need to decipher the important information that is hidden among it. By using complex event processing, we can obtain the information that really matters to our organization and use it to improve our processes. However, even when this information is retrieved, business processes remain static and cannot be changed dynamically to adapt to the actual scenario, diminishing the advantages that can be achieved. In this paper we present CEVICHE, a framework that combines the strengths of complex event processing and dynamic business process adaptation, which allows to respond to the needs of today's rapidly changing environments. We use a simple car rental scenario to show how CEVICHE could be used to maintain the quality of service of a business process by adapting it according to the situation.