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Identifying groups of blocks that tend to be read or written together in a given environment is the first step towards powerful techniques for device failure isolation and power management. For example, identified groups can be placed together on a single disk, avoiding excess drive activity across an exascale storage system. Unlike previous grouping work, the authors focus on identifying groupings in data that can be gathered from real, running systems with minimal impact. Using temporal, spatial, and access ordering information from an enterprise data set, they identified a set of groupings that consistently appear, indicating that these are working sets that are likely to be accessed together.
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