KML: Using Machine Learning to Improve Storage Systems. (arXiv:2111.11554v2 [cs.OS] UPDATED)

Operating systems include many heuristic algorithms designed to improve
overall storage performance and throughput. Because such heuristics cannot work
well for all conditions and workloads, system designers resorted to exposing
numerous tunable parameters to users -- thus burdening users with continually
optimizing their own storage systems and applications. Storage systems are
usually responsible for most latency in I/O-heavy applications, so even a small
latency improvement can be significant. Machine learning (ML) techniques
promise to learn patterns, generalize from them, and …

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