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Proceedings Papers

CRIS and the GRIDs Architecture

Author:

K Jeffery

Science and Technology Research Council, Rutherford Appleton Laboratory, Harwell Science and Innovation Campus, Chilton, Didcot, Oxfordshire OX11 0QX, UK
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Abstract

The end-user demands low effort threshold access to systems providing e-information, e-business, and e-entertainment. Innovators and entrepreneurs require also equally low-energy access to heterogeneous information homogenised to a form and language familiar to them. On top of that, decision-makers, whether in a control room or government strategic planning, demand equally easy access to information that is statistically or inductively enhanced to knowledge and access to modelling or simulation systems to allow 'what if?' requests. Researchers and technical workers have an additional requirement for rapid integration of information with statistical, induction, modelling, and simulation systems to generate and verify hypotheses so generating data and information, to be used by others, which in turn advances knowledge. Access is required, and can now be provided, anytime, anyhow, anywhere through ambient computing technology. A new paradigm, GRIDs, provides the architectural framework.
DOI: http://doi.org/10.2481/dsj.CRIS9
How to Cite: Jeffery, K., (2010). CRIS and the GRIDs Architecture. Data Science Journal. 9, pp.CRIS44–CRIS52. DOI: http://doi.org/10.2481/dsj.CRIS9
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Published on 29 Apr 2010.
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