CBPsp: complex business processes for stream processing
Date
2011-04-01
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Abstract
This thesis presents the framework of a complex business process driven event
stream processing system to produce meaningful output with direct implications to the
business objectives of an organization. This framework is demonstrated using a case
study instantiating the management of a newborn infant with hypoglycaemia. Business
processes defined within guidelines, are defined at build-time while critical knowledge
found in the definition of business processes are used to support their enactment for
stream analysis. Four major research contributions are delivered. The first contribution
enables the definition and enactment of complex business processes in real-time. The
second contribution supports the extraction of business process using knowledge found
within the initial expression of the business process. The third contribution allows for the
explicit use of temporal abstraction and stream analysis knowledge to support
enactment in real-time. Finally, the last contribution is the real-time integration of
heterogeneous streams based on Service-Oriented Architecture principles.
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Keywords
Complex business processes, Event stream processing, Data streams, Real-time enactment, Clinical decision support system