Grossniklaus, Michael

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Workload aware data partitioning

2022, May, Norman, Boehm, Alexander, Moerkotte, Guido, Brendle, Michael, Valiyev, Mahammad, Weber, Nick, Schulze, Robert, Grossniklaus, Michael

Techniques and solutions are described for partitioning data among different types of computer-readable storage media, such as between RAM and disk-based storage. A measured workload can be used to estimate data access for one or more possible partition arrangements. The partitions arrangements can be automatically enumerated. Scores for the partition arrangements can be calculated, where a score can indicate how efficiently a partition arrangement places frequently accessed data into storage specified for frequently-accessed data and placed infrequently accessed data into storage specified for infrequently accessed data.

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Veröffentlichung

Implementation of Data Access Metrics for Automated Physical Database Design

2022, Brendle, Michael, May, Norman, Schulze, Robert, Boehm, Alexander, Moerkotte, Guido, Grossniklaus, Michael