GCIP: exploiting the generation and optimization of integration processes

Authors:
Matthias Boehm;Uwe Wloka;Dirk Habich;Wolfgang Lehner
Affiliations:
Dresden University of Applied Sciences, Dresden, Germany;Dresden University of Applied Sciences, Dresden, Germany;Dresden University of Technology, Dresden, Germany;Dresden University of Technology, Dresden, Germany
Venue:
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Year:
2009

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Abstract

As a result of the changing scope of data management towards the management of highly distributed systems and applications, integration processes have gained in importance. Such integration processes represent an abstraction of workflow-based integration tasks. In practice, integration processes are pervasive and the performance of complete IT infrastructures strongly depends on the performance of the central integration platform that executes the specified integration processes. In this area, the three major problems are: (1) significant development efforts, (2) low portability, and (3) inefficient execution. To overcome those problems, we follow a model-driven generation approach for integration processes. In this demo proposal, we want to introduce the so-called GCIP Framework (Generation of Complex Integration Processes) which allows the modeling of integration process and the generation of different concrete integration tasks. The model-driven approach opens opportunities for rule-based and workload-based optimization techniques.