Workload-aware data encoding
AssigneeOracle International Corporation
InventorsUrvashi Oswal, Marc Jolles, Onur Kocberber, Seema Sundara, Nipun Agarwal
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AssigneeOracle International Corporation
InventorsUrvashi Oswal, Marc Jolles, Onur Kocberber, Seema Sundara, Nipun Agarwal
Estimating the term…
Techniques are described for executing machine learning models trained for specific operators with feature values that are based on the actual execution of a workload set. The machine learning models generate an estimate of benefit gain/cost for executing operations on data portions in the alternative encoding format. Such data potions may be sorted based on the estimated benefit, in an embodiment. Using cost estimation machine learning models for memory space, the data portions with the most benefits that comply with the existing memory space constraints are recommended and/or are automatically encoded into the alternative encoding format.
A computer-implemented method comprising:
One or more non-transitory computer-readable media storing a set of instructions, wherein the set of instructions includes instructions, which when executed by one or more hardware processors, cause:
Dependencies are inferred from the claim text.