The tokuFS streaming file system

John Esmet; Michael A. Bender; Martin Farach-Colton; Bradley C. Kuszmaul

The tokuFS streaming file system

John Esmet, Michael A. Bender, Martin Farach-Colton, Bradley C. Kuszmaul

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English (US)
State	Published - 2012
Event	4th USENIX Workshop on Hot Topics in Storage and File Systems, HotStorage 2012 - Boston, United States Duration: Jun 13 2012 → Jun 14 2012

Conference

Conference	4th USENIX Workshop on Hot Topics in Storage and File Systems, HotStorage 2012
Country/Territory	United States
City	Boston
Period	6/13/12 → 6/14/12

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Information Systems
Software

Cite this

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AU - Esmet, John

AU - Bender, Michael A.

AU - Farach-Colton, Martin

AU - Kuszmaul, Bradley C.

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AB - 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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The tokuFS streaming file system

Abstract

Conference

ASJC Scopus subject areas

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