Production workflow: concepts and techniques
Production workflow: concepts and techniques
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Web Services Platform Architecture: SOAP, WSDL, WS-Policy, WS-Addressing, WS-BPEL, WS-Reliable Messaging and More
Evaluation of BPEL to Scientific Workflows
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Enterprise Service Bus
SERVICES '08 Proceedings of the 2008 IEEE Congress on Services - Part I
The Trident Scientific Workflow Workbench
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
Designing Workflows on the Fly Using e-BioFlow
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Towards reference passing in web service and workflow-based applications
EDOC'09 Proceedings of the 13th IEEE international conference on Enterprise Distributed Object Computing
Using UNICORE and WS-BPEL for scientific workflow execution in grid environments
Euro-Par'09 Proceedings of the 2009 international conference on Parallel processing
ESCIENCE '10 Proceedings of the 2010 IEEE Sixth International Conference on e-Science
Model-as-you-go: An Approach for an Advanced Infrastructure for Scientific Workflows
Journal of Grid Computing
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In the field of natural and engineering science, computer simulations play an increasingly important role to explain or predict phenomena of the real world. Although the software landscape is crucial to support scientists in their every day work, we recognized during our work with scientific institutes that many simulation programs can be considered legacy monolithic applications. They are developed without adhering to known software engineering guidelines, lack an acceptable software ergonomics, run sequentially on single workstations and require tedious manual tasks. We are convinced that SOA concepts and the service composition technology can help to improve this situation. In this paper we report on the results of our work on the service- and service composition-based re-engineering of a legacy scientific application for the simulation of the ageing process in copper-alloyed. The underlying general concept for a distributed, service-based simulation infrastructure is also applicable to other scenarios. Core of the infrastructure is a resource manager that steers server work load and handles simulation data.