CBPsp: complex business processes for stream processing

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.

Name thesis:degree_name

Master of Science (MSc)

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Ontario Institute of Technology

Year dc:date.issued

2011

Author dc:creator

• Kamaleswaran, Rishikesan

Advisor dc:contributor.advisor

• McGregor, Carolyn

• Complex business processes
• Event stream processing
• Data streams
• Real-time enactment
• Clinical decision support system

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/10155/151

OAI identifier oai:identifier

oai:ontariotechu.scholaris.ca:10155/151