Method and system for proactive data migration across tiered storage
Abstract:
A method and system for proactive data migration across tiered storage that uses machine learning is shown. The method includes receiving first input-output (IO) event metadata describing a first IO event, and analyzing the first IO event metadata using an optimized learning model (OLM), to obtain a first learning model output. The first learning model output is interpreted to generate a first data migration request, and the first data is proactively migrated from a first storage tier to a second storage tier based on the first data migration request.
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