{"id":158527,"date":"2010-04-01T00:00:00","date_gmt":"2010-04-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/interactive-physical-design-tuning\/"},"modified":"2024-02-26T14:33:40","modified_gmt":"2024-02-26T22:33:40","slug":"interactive-physical-design-tuning","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/interactive-physical-design-tuning\/","title":{"rendered":"Interactive Physical Design Tuning"},"content":{"rendered":"<div class=\"asset-content\">\n<p>In the last decade, automated physical design tuning became a relevant area of research. The process of tuning a workload became more flexible but also more complex, and getting the best design upfront became difficult. We propose a paradigm shift for physical design tuning, in which sessions are highly interactive, allowing DBAs to quickly try different options, identify problems, and obtain physical designs in an agile manner.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the last decade, automated physical design tuning became a relevant area of research. The process of tuning a workload became more flexible but also more complex, and getting the best design upfront became difficult. We propose a paradigm shift for physical design tuning, in which sessions are highly interactive, allowing DBAs to quickly try 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