Using Grids for Exploiting Data Abundance in Science

نویسنده

  • Domenico Talia
چکیده

When data is maintained over geographically distributed sites the computational power of distributed and parallel systems can be exploited for knowledge discovery in scientific data. In this scenario the Grid can provide an effective computational support for distributed knowledge discovery on large datasets. In particular, Grid services for data integration and analysis can represent a primary component for e-science applications involving distributed massive and complex data sets.

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تاریخ انتشار 2007