Database driven scheduling for batch systems

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.