Skip to main content
USENIX
  • Conferences
  • Students
Sign in
  • Home
  • Attend
    • Registration Information
    • Registration Discounts
    • Venue, Hotel, and Travel
    • Students and Grants
    • Co-located Events
      • SOUPS 2016
      • HotCloud '16
      • HotStorage '16
  • Program
    • At a Glance
    • Technical Sessions
  • Activities
    • Birds-of-a-Feather Sessions
    • Poster Session
  • Participate
    • Instructions for Authors and Speakers
    • Call for Papers
    • Call for Practitioner Talks
  • Sponsorship
  • About
    • Organizers
    • Help Promote!
    • Questions
    • Past Conferences
  • Home
  • Attend
  • Program
  • Activities
  • Participate
  • Sponsorship
  • About

sponsors

Gold Sponsor
Gold Sponsor
Gold Sponsor
Gold Sponsor
Silver Sponsor
Silver Sponsor
Silver Sponsor
Silver Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Industry Partner
Industry Partner
Industry Partner

help promote

USENIX ATC '16

Get
Help Promote graphics!

connect with us


  •  Twitter
  •  Facebook
  •  LinkedIn
  •  Google+
  •  YouTube

twitter

Tweets by @usenix

usenix conference policies

  • Event Code of Conduct
  • Conference Network Policy
  • Statement on Environmental Responsibility Policy

You are here

Home ยป Optimizing Every Operation in a Write-optimized File System
Tweet

connect with us

Optimizing Every Operation in a Write-optimized File System

Authors: 

Jun Yuan, Yang Zhan, William Jannen, Prashant Pandey, Amogh Akshintala, Kanchan Chandnani, and Pooja Deo, Stony Brook University; Zardosht Kasheff, Facebook; Leif Walsh, Two Sigma; Michael A. Bender, Stony Brook University; Martin Farach-Colton, Rutgers University; Rob Johnson, Stony Brook University; Bradley C. Kuszmaul, Massachusetts Institute of Technology; Donald E. Porter, Stony Brook University

Best Paper at FAST '16: Link to Paper

Abstract: 

File systems that employ write-optimized dictionaries (WODs) can perform random-writes, metadata updates, and recursive directory traversals orders of magnitude faster than conventional file systems. However, previous WOD-based file systems have not obtained all of these performance gains without sacrificing performance on other operations, such as file deletion, file or directory renaming, or sequential writes.

Using three techniques, late-binding journaling, zoning, and range deletion, we show that there is no fundamental trade-off in write-optimization. These dramatic improvements can be retained while matching conventional file systems on all other operations.

BetrFS 0.2 delivers order-of-magnitude better performance than conventional file systems on directory scans and small random writes and matches the performance of conventional file systems on rename, delete, and sequential I/O. For example, BetrFS 0.2 performs directory scans 2.2x faster, and small random writes over two orders of magnitude faster, than the fastest conventional file system. But unlike BetrFS 0.1, it renames and deletes files commensurate with conventional file systems and performs large sequential I/O at nearly disk bandwidth. The performance benefits of these techniques extend to applications as well. BetrFS 0.2 continues to outperform conventional file systems on many applications, such as as rsync, git-diff, and tar, but improves git-clone performance by 35% over BetrFS 0.1, yielding performance comparable to other file systems.

Jun Yuan, Stony Brook University

Yang Zhan, Stony Brook University

William Jannen, Stony Brook University

Prashant Pandey, Stony Brook University

Amogh Akshintala, Stony Brook University

Kanchan Chandnani, Stony Brook University

Pooja Deo, Stony Brook University

Zardosht Kasheff, Facebook

Leif Walsh, Two Sigma

Michael A. Bender, Stony Brook University

Martin Farach-Colton, Rutgers University

Rob Johnson, Stony Brook University

Bradley C. Kuszmaul, Massachusetts Institute of Technology

Donald E. Porter, Stony Brook University

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

Presentation Audio

MP3 Download

Download Audio

  • Log in or    Register to post comments

Gold Sponsors

Silver Sponsors

Media Sponsors & Industry Partners

© USENIX

  • Privacy Policy
  • Contact Us