Publikation: Workload aware data partitioning
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Datum
2022
Autor:innen
May, Norman
Boehm, Alexander
Moerkotte, Guido
Valiyev, Mahammad
Weber, Nick
Schulze, Robert
Herausgeber:innen
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Internationale Patentnummer
US20220019589
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Open Access-Veröffentlichung
Core Facility der Universität Konstanz
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Zusammenfassung
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.
Zusammenfassung in einer weiteren Sprache
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MAY, Norman, Alexander BOEHM, Guido MOERKOTTE, Michael BRENDLE, Mahammad VALIYEV, Nick WEBER, Robert SCHULZE, Michael GROSSNIKLAUS, 2022. Workload aware data partitioningBibTex
@misc{May2022Workl-56602, year={2022}, title={Workload aware data partitioning}, url={https://patents.google.com/patent/US20220019589A1/en}, author={May, Norman and Boehm, Alexander and Moerkotte, Guido and Brendle, Michael and Valiyev, Mahammad and Weber, Nick and Schulze, Robert and Grossniklaus, Michael} }
RDF
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2022-02-21
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