GridBeans: Support e-Science and Grid Applications
Ratering, R., Lukichev, A., Bala, P., Ohme, G., Riedel, M., Mallmann, D., Andrea Vanni, Claudio Cacciari, S. Lanzarini, Krzysztof Benedyczak, Marcelina Borcz, R. Kluszcynski
Abstract
Ratering, R., Lukichev, A., Bala, P., Ohme, G., Riedel, M., Mallmann, D., Andrea Vanni, Claudio Cacciari, S. Lanzarini, Krzysztof Benedyczak, Marcelina Borcz, R. Kluszcynski
Abstract
Large-scale scientific research often relies on the collaborative use of Grid and e-Science infrastructures that provide computational or storage related resources. One of the ideas of these modern infrastructures is to facilitate the routine interaction of scientists and their workflows with advanced problem solving tools and computational resources. While many production Grid projects and e-Science infrastructures have begun to offer services for the usage of resources to end-users during the past several years, the corresponding emerging standards defined by GGF and OASIS still appear to be in flux. In this paper, we present the GridBean technology that bridges the gap between the constantly changing basic Grid or e-Science infrastructures and the need of stable application development environments for the Grid users.
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Large-scale scientific research often relies on the collaborative use of Grid and e-Science infrastructures that provide computational or storage related resources. One of the ideas of these modern infrastructures is to facilitate the routine interaction of scientists and their workflows with advanced problem solving tools and computational resources. While many production Grid projects and e-Science infrastructures have begun to offer services for the usage of resources to end-users during the past several years, the corresponding emerging standards defined by GGF and OASIS still appear to be in flux. In this paper, we present the GridBean technology that bridges the gap between the constantly changing basic Grid or e-Science infrastructures and the need of stable application development environments for the Grid users.
Key concepts: e-Science, Grid computing, Workflow, Grid, Computer science, Semantic grid, Data science, Scale (ratio)