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Previously we reported experimental and qualitative evaluations of a prototype computer decision support tool for the management of familial cancer risk in primary care (Emery et al, 1999, 2000).
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The scalability of scalable workload-driven partitioning is validated by showing the performance evaluation of a prototype implementation on Amazon SimpleDB [2] running in the Amazon Cloud.
The scalability of the scalable workload-driven partitioning algorithm is shown by presenting the performance evaluation of a prototype implementation on scalable database layer as Hadoop HBase [1] running in the existing local cluster.
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