en

Willkommen Gast


  • Login
Full load

Artikel
AutorenSonja Zaplata, Kristof Hamann, Kristian Kottke, Winfried Lamersdorf
TitelFlexible Execution of Distributed Business Processes based on Process Instance Migration
Publiziert inJournal of Systems Integration (JSI)
VerlagCzech Society for Systems Integration (CSSI) Prague
MediumBand 1 Nummer 3
DatumJuli 2010
Seiten3-16
ZusammenfassungMany advanced business applications, collaborations, and virtual organizations are based on distributed business process management. As, in such scenarios, competition, fluctuation and dynamism increase continuously, the distribution and execution of individual process instances should become as flexible as possible in order to allow for an ad-hoc adaptation to changing conditions at runtime. However, most current approaches address process distribution by a fragmentation of processes already at design time. Such a static configuration can be assigned to different process engines near runtime, but can hardly be changed dynamically because distribution logic is weaved into the business process itself. A more dynamic segmentation of such distribution can be achieved by process runtime migration even without modifying the business logic of the original process model. Therefore, this contribution presents a migration data meta-model for enhancing such existing processes with the ability for runtime migration. The approach permits the inclusion of intensions and privacy requirements of both process modelers and initiators and supports execution strategies for sequential and parallel execution of processes. The contribution concludes with presenting a conceptual evaluation in which runtime migration has been applied to XPDL and WS-BPEL process instances and, based on these results, a qualitative comparison of migration and fragmentation.
Dokumentpdflogo
Andere Formate Din 1501
bibTexLogo
Assoziiertes Projekt
Logo S-CUBE
Software Services and Systems Network
EU FP7, Network of Excellence
Logo DEMAC
Distributed Environment for Mobility-Aware Computing