Learned scheduling for database management systems
Parallel database management systems need efficient job scheduling. Currently systems use simple heuristics ignoring the characteristics of database workloads. Therefore, we created an effective scheduler that uses machine learning techniques, such as reinforcement learning and neural networks, and...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/139086 |