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• W2095752647 abstract "Computational scientists often develop large models and codes intended to be used by larger user communities or for repetitive tasks such as parametric studies. Lowering the barrier of entry for access to these codes is often a technical and sociological challenge. Portals help bridge the gap because they are well known interfaces enabling access to a large variety of resources, services, applications, and tools for private, public, and commercial entities, while hiding the complexities of the underlying software systems to the user. This paper presents an overview of the current state-of-the-art in grid portals, based on a component approach that utilizes portlet frameworks and the most recent Grid standards, the Web Services Resource Framework and a summary of current DOE portal efforts." @default.
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• W2095752647 date "2005-01-01" @default.
• W2095752647 modified "2023-09-26" @default.
• W2095752647 title "Grid portal architectures for scientific applications" @default.
• W2095752647 cites W1489470749 @default.
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• W2095752647 doi "https://doi.org/10.1088/1742-6596/16/1/083" @default.
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