Using grids for scientific experiments is common nowadays. Large experiments like the LHC utilize all two core components of a grid. Storage elements hold the raw experimental data which subsequently need to be processed by computing elements. This statistical analysis leads to results from which scientific conclusions can be drawn. However, moving the huge quantities of experimental raw data from the researcher's office computer to the grid resources in the first place is a challenging task.
We propose a solution which we call "remote instrumentation": Instead of moving the data to the grid resources, we want to integrate the instruments into the grid ecosystem. As a consequence, as soon as the instruments start producing data the experimental data would be immediately available to the other grid resources, in particular to the computational and the storage elements.
By introducing this new "instrument element" next to computational and storage elements we close the gap in the workflow of computer aided scientific experiments: The data collection phase becomes grid-aware, resulting in scientific experiments which can be fully managed within the grid ecosystem.
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