(FAST '21) Rethinking File Mapping for Persistent Memory

2021/03/15 PM

This work focuses on the bottleneck of file-mapping in NVM filesystems.

The “file mapping” here aims the translation and allocation from logical address (inode-num, logical block) to physical address in I/O path. They claim that file mapping comprise up to 70% of all overhead.

related works: strata, ZoFS, NOVA, SplitFS…

Their works:

  1. analyze file mapping in PM
    • lots of experiments in this part, including page cache, size, space utilization, fragmentation…
    • Also legacy structures suffered perf loss on large files and update ops.

      This part contains lots of details!

  2. optimize file mapping structures
    • cuckoo hashing
    • HashFS
      • use hash table with linear probing to index file data. and the file offset is the hashing collision offset. image.png
      • intuition behind this design: since page cache is harmful, hash table can make sparse and random update operations efficient. As a result, it also saves cost of block allocator management.
      • the implementation is only depend on memory primitives
      • To avoid resize hash table, statically allocate a super big global table.

        or can we use multiple tables?

      • Use SIMD to accelerate I/O for lookup, since lookup can be done in parallel.
  3. evaluate them on real workloads
    • YCSB: 10-45% gains
    • filebench: …
    • locality: image.png > ???

A good work lead by findings of experiments.


  1. Neal, Ian, et al. “Rethinking File Mapping for Persistent Memory.” 19th {USENIX} Conference on File and Storage Technologies ({FAST} 21). 2021.


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