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A typical storage hierarchy comprises of components with varying performance and cost characteristics, providing multiple options for data placement. The authors propose and evaluate a hierarchical storage system, DHIS, that uses application-level hints to discriminate between data with different access characteristics, and then customizes its placement and caching policies to each type. The data placement decisions in DHIS are made in an online fashion, during data creation. Most existing solutions that attempt to customize data layout require moving data around, based on access characteristics.
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