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MLstorage (Machine Learning based Storage)

This project aims to support a solid state hybrid drive(SSHD) with an intelligent cache module, which controls storage policy based on estimated IO access pattern.

Build

  • enter kmod directory and just make
    • The kernel module will be built against a current kernel version.
    • If you try to build with another version, please define KSRC environment variable
    • Linux source headers should be installed before build starts.
  • If build succeeds, kmod/mlstor.ko will be generated.

Run

  • A MLstorage control script is provided as script/mlstorctl.sh.
  • Prepare two partitions or devices for HDD and NVMe
    • Assumes /dev/sdb4 and /dev/nvme0n1p1
    • root permission required
  • create MLstorage device
    • Usage: mlstorctl -c -b <backing device> -C <cache device> <mlstor name>
    • eg) `script/mlstorctl -c -b /dev/sdb4 -C /dev/nvme01n1p1 mlstor_test
  • create file system(ext4) on a MLstorage
    • mkfs.ext4 /dev/mapper/mlstor_test
    • mkdir /data.mlstor
    • mount /dev/mapper/mlstor /data/.mlstor
  • Run benchmarks
    • We provide useful fio(Flexible I/O) scripts
    • cd fio
    • ./runfio.sh -t mlstor_test -o output_mlstor.txt
    • cat output_mlstor.txt
This project has been supported by ICT Research and Development Program of MSIP/IITP(Developing System Software Technologies for Emerging New Memory That Adaptively Learn Workload Characteristics) under Grant 2019-0-00074.