Database driven scheduling for batch systems
1997
Experiments at the Jefferson Laboratory will soon be generating data at the rate of 1 TB/day. In this paper, the authors present a database driven scheme that they are currently implementing in order to ensure the safe archival and subsequent reconstruction of this data. They use a client-server architecture implemented in Java to serve data between the experiments, the mass storage, and the processor farm.
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