ADWTune: an adaptive dynamic workload tuning system with deep reinforcement learning
Abstract In order to reduce the burden of DBA, the knob tuning method based on reinforcement learning has been proposed and achieved good results in some cases. However, the performance of these solutions is not ideal as the workload features are not considered enough. To address these issues, we pr...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-02-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-01801-3 |
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