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CAPES: Unsupervised Storage Performance Tuning Using Neural Network-Based Deep Reinforcement Learning
<!--HTML--><p>Parameter tuning is an important task of storage performance optimization. Current practice usually involves numerous tweak-benchmark cycles that are slow and costly. To address this issue, we developed CAPES, a model-less deep reinforcement learning-based unsupervised para...
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| Lenguaje: | eng |
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2017
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| Acceso en línea: | http://cds.cern.ch/record/2284174 |