SIBYL: A machine learning-based framework for forecasting dynamic workloads

SIBYL is a machine learning model that makes highly accurate predictions of database queries, enabling tuning for more efficiency. Applying traditional database optimizations to these predicted queries helps maintain high performance as demands change.

The post SIBYL: A machine learning-based framework for forecasting dynamic workloads appeared first on Microsoft Research.

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