Visualization methods and simulation steering for a 3D turbulence model of Lake Erie
I3D '90 Proceedings of the 1990 symposium on Interactive 3D graphics
Enhancing Scientific Workflows with Secure Shell Functionality in UNICORE Grids
E-SCIENCE '05 Proceedings of the First International Conference on e-Science and Grid Computing
The Web Services Architecture and the UNICORE Gateway
AICT-ICIW '06 Proceedings of the Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services
GridBeans: Support e-Science and Grid Applications
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
ISPDC '07 Proceedings of the Sixth International Symposium on Parallel and Distributed Computing
GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
Flexible streaming infrastructure for UNICORE
Euro-Par'07 Proceedings of the 2007 conference on Parallel processing
Using SAML-based VOMS for authorization within web services-based UNICORE grids
Euro-Par'07 Proceedings of the 2007 conference on Parallel processing
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Today’s large-scale scientific research often relies on the collaborative use of a Grid or e-Science infrastructure (e.g. DEISA, EGEE, TeraGrid, OSG) with computational, storage, or other types of physical resources. One of the goals of these emerging infrastructures is to support the work of scientists with advanced problem-solving tools. Many e-Science applications within these infrastructures aim at simulations of a scientific problem on powerful parallel computing resources. Typically, a researcher first performs a simulation for some fixed amount of time and then analyses results in a separate post-processing step, for instance, by viewing results in visualizations. In earlier work we have described early prototypes of a Collaborative Online Visualization and Steering (COVS) Framework in Grids that performs both - simulation and visualization - at the same time (online) to increase the efficiency of e-Scientists. This paper evaluates the evolved mature reference implementation of the COVS framework design that is ready for production usage within Web service-based Grid and e-Science infrastructures.