sbu-fsl/kernel-ml
Machine Learning Framework for Operating Systems - Brings ML to Linux kernel
This framework helps operating system developers and storage system engineers improve system performance without manual tuning. It takes real-time system metrics as input and uses machine learning to dynamically adjust OS parameters, like 'readahead' values, outputting optimized system configurations. This leads to better throughput for various applications.
256 stars. No commits in the last 6 months.
Use this if you are developing or managing operating systems and storage systems and need an intelligent, adaptive way to optimize performance for dynamic workloads, rather than relying on static, predetermined parameters.
Not ideal if you are looking for a high-level application-focused machine learning library or do not have the expertise to modify and recompile a Linux kernel.
Stars
256
Forks
31
Language
C
License
Apache-2.0
Category
Last pushed
Dec 13, 2021
Commits (30d)
0
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