Batch Data Processing Cluster
Jobs on this cluster typically read raw experiment data from tape, process the data and write the results back to tape.
Each cluster node runs an independent job and jobs are scheduled and managed by a batch scheduling system like NQS or LSF.
Nodes in this type of cluster need good CPU performance, disks large enough to contain the input and output data and good connectivity to the mass storage (tape silo) system.
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