John Esmet, Tokutek & Rutgers; Michael A. Bender, Tokutek & Stony Brook; Martin Farach-Colton, Tokutek & Rutgers; Bradley C. Kuszmaul, Tokutek & MIT
Abstract:
The TokuFS file system outperforms write-optimized file systems by an order of magnitude on microdata write workloads, and outperforms read-optimized file systems by an order of magnitude on read workloads. Microdata write workloads include creating and destroying many small files, performing small unaligned writes within large files, and updating metadata. TokuFS is implemented using Fractal Tree indexes, which are primarily used in databases. TokuFS employs block-level compression to reduce its disk usage.
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BibTeX
@inproceedings {179571,
title = {The TokuFS Streaming File System},
booktitle = {Presented as part of the 4th {USENIX} Workshop on Hot Topics in Storage and File Systems},
year = {2012},
address = {Boston, MA},
url = {https://www.usenix.org/conference/hotstorage12/workshop-program/presentation/Esmet},
publisher = {{USENIX}},
}
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