Article in Proceedings INPROC-2014-17

BibliographyWagner, Sebastian; Kopp, Oliver; Leymann, Frank: Choreography-based Consolidation of Multi-Instance BPEL Processes.
In: SciTePress (ed.): Proceedings of the 4th International Conference on Cloud Computing and Services Science (CLOSER 2014);Barcelona, Spain, April 3-5, 2014..
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 1-12, english.
Barcelona: SciTePress, April 2014.
Article in Proceedings (Conference Paper).
Corporation4th International Conference on Cloud Computing and Services Science (CLOSER 2014)
CR-SchemaH.4.1 (Office Automation)
KeywordsBPEL; Choreography; Process Consolidation; Multi-Instance Interactions
Abstract

Interaction behavior between processes of different organizational units such as an enterprise and its suppliers can be modeled by choreographies. When organizations decide, for instance, to gain more control about their suppliers to minimize transaction costs, they may decide to insource these companies. This especially includes the integration of the partner processes into the organizationís processes. Existing works are able to merge single-instance BPEL process interactions where each process model is only instantiated once during choreography execution. However, there exist different interaction scenarios where one process interacts with several instances of another process and where the number of instances involved is not known at design time but determined during runtime of the choreography. In this work we investigate these interaction scenarios and extend the process consolidation approach in a way that we can emulate the multi-instance interaction scenarios in the merged process model.

Contactsebastian.wagner@iaas.uni-stuttgart.de
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
University of Stuttgart, Institute of Architecture of Application Systems
Project(s)Migrate
CloudCycle
Entry dateMarch 7, 2014
   Publ. Institute   Publ. Computer Science