KML: Using Machine Learning to Improve Storage Systems · HackerPapers discussions

KML: Using Machine Learning to Improve Storage Systems — mentioned by belter

Sun, 28 Nov 2021 18:19:48 GMT

https://arxiv.org/pdf/2111.11554.pdf "...In this paper, we describe our proposed ML architecture, called KML. We developed a prototype KML architecture and applied it to two problems: optimal readahead and NFS read-size values. Our experiments show that KML consumes little OS resources, adds negligible latency, and yet can learn patterns that can improve I/O throughput by as much as 2.3x or 15x for the two use cases respectively -- even for complex, never-before-seen, concurrently running mixed workloads on different storage devices..."

Paper and discussion history. A mention is not an endorsement.

KML: Using Machine Learning to Improve Storage Systems — HN submission

Sun, 28 Nov 2021 18:19:48 GMT

KML: Using Machine Learning to Improve Storage Systems

2 points; 1 discussion reply on HN. Paper and source history. A submission is not an endorsement.

KML: Using Machine Learning to Improve Storage Systems — mentioned by i_umit

Wed, 24 Nov 2021 21:53:24 GMT

You can find the related paper in arxiv: https://arxiv.org/abs/2111.11554

Paper and discussion history. A mention is not an endorsement.