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Database storage management at data centers is a manual, time-consuming, and error-prone task. Such management involves regular movement of database objects across physical storage devices in a Storage Area Network (SAN) so that storage utilization is maximized. The authors present STORM, an automated approach that guides this task by combining low-overhead information gathering about database access and storage usage patterns, efficient analysis, and effective decision-making for reconfiguring data layout.
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