A problem solving environment for multidisciplinary coupled simulations in computational grids
Future Generation Computer Systems - Special section: Complex problem-solving environments for grid computing
Automatic generation of workflow provenance
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Virtual logbooks and collaboration in science and software development
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Provenance collection support in the kepler scientific workflow system
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Issues in automatic provenance collection
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Performance evaluation of the karma provenance framework for scientific workflows
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
PrIMe: a software engineering methodology for developing provenance-aware applications
Proceedings of the 6th international workshop on Software engineering and middleware
A model of process documentation to determine provenance in mash-ups
ACM Transactions on Internet Technology (TOIT)
Provenance and Annotation of Data and Processes
Requirements for a Provenance Visualization Component
Provenance and Annotation of Data and Processes
Uncovering DEVS simulation behaviour throughout the open provenance model
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
PrIMe: A methodology for developing provenance-aware applications
ACM Transactions on Software Engineering and Methodology (TOSEM)
Recording actor state in scientific workflows
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Applying the virtual data provenance model
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
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Many of today's engineering applications for simulations are lacking machanisms to trace the generation of results and the underlying processes. Especially computations conducted in distribued computing environments as Grids are lacking suitable means to keep track of used resources. Trust of engineers in results produced within distribued simulation environments is very limited without this information. This paper will demonstrate how trust and confidence in simulation results could be achived for engineering applications. It will highlight the backgrounds of the application, of provenance recording, the mapping to the application, and finally the implementation of provenance awareness for the application. Additionally it will present examples of analyzing the information stored to be of further use to the engineer.