Machine Learning for Out of Distribution Database Workloads
DBMS query optimizers are designed using several heuristics to make decisions, such as simplifying assumptions in cardinality estimation, or cost model assumptions for predicting query latencies. With the rise of cloud first DBMS architectures, it is now possible to collect massive amounts of data o...
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/153835 https://orcid.org/0000-0002-8442-9159 |