Constrained physical design tuning

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Constrained physical design tuning
Abstract Existing solutions to the automated physical design problem in database systems attempt to minimize execution costs of input workloads for a given storage constraint. In this work, we argue that this model is not flexible enough to address several realworld situations. To overcome this limitation, we introduce a constraint language that is simple yet powerful enough to express many important scenarios. We build upon a previously proposed transformation-based framework to incorporate constraints into the search space. We then show experimentally that we are able to handle a rich class of constraints and that our proposed technique scales gracefully. Our approach generalizes previous work that assumes simpler optimization models where configuration size is the only fixed constraint. As a consequence, the process of tuning a workload becomes more flexible but also more complex, and getting the best design in the first attempt becomes difficult. We propose a paradigm shift for phy...
Nicolas Bruno, Surajit Chaudhuri
Added 28 Dec 2010
Updated 28 Dec 2010
Type Journal
Year 2008
Authors Nicolas Bruno, Surajit Chaudhuri
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