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In a growing number of scientific disciplines, large data collections are emerging as important community resources. Data and metadata management exploiting the data grid paradigm is becoming more and more important as the number of involved data sources is continuously increasing and decentralizing. Efficient grid data access services are perceived as mandatory components for data management. In...
Grid computing enables sharing, selection, and aggregation of a wide variety of geographically distributed computational resources such as supercomputers, clusters, storage systems and data sources. A grid presents them as one unified resource for solving large-scale and data intensive computing applications. A middleware supports applications in distributed computing environments by providing services...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.