research-article

ROS: A Rack-based Optical Storage System with Inline Accessibility for Long-Term Data Preservation

Authors:

Changsheng Xie, and

Hong JiangAuthors Info & Claims

EuroSys '17: Proceedings of the Twelfth European Conference on Computer Systems

April 2017

Pages 161 - 174

https://doi.org/10.1145/3064176.3064207

Published: 23 April 2017 Publication History

Abstract

The combination of the explosive growth in digital data and the need to preserve much of this data in the long term has made it an imperative to find a more cost-effective way than HDD arrays and more easily accessible way than tape libraries to store massive amounts of data. While modern optical discs are capable of guaranteeing more than 50-year data preservation without migration, individual optical disks' lack of the performance and capacity relative to HDDs or tapes has significantly limited their use in datacenters. This paper presents a Rack-scale Optical disc library System, or ROS in short, that provides a PB-level total capacity and inline accessibility on thousands of optical discs built within a 42U Rack. A rotatable roller and robotic arm separating and fetching the discs are designed to improve disc placement density and simplify the mechanical structure. A hierarchical storage system based on SSD, hard disks and optical discs are presented to hide the delay of mechanical operation. On the other hand, an optical library file system is proposed to schedule mechanical operation and organize data on the tiered storage with a POSIX user interface to provide an illusion of inline data accessibility. We evaluate ROS on a few key performance metrics including operation delays of the mechanical structure and software overhead in a prototype PB-level ROS system. The results show that ROS stacked on Samba and FUSE can provide almost 323MB/s read and 236MB/s write throughput, about 53ms file write and 15ms read latency via 10GbE network for external users, exhibiting its inline accessibility. Besides, ROS is able to effectively hide and virtualize internal complex operational behaviors and be easily deployable in datacenters.

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Anderson PAranas EAssaf YBehrendt RBlack RCaballero MCameron PCanakci BDe Carvalho TChatzieleftheriou AStoran Clarke RClegg JCletheroe DCooper BDeegan TDonnelly ADrevinskas RGaunt AGkantsidis CGomez Diaz AHaller IHong FIlieva TJoshi SJoyce RKunkel MLara DLegtchenko SLiu FMagalhaes BMarzoev AMcnett MMohan JMyrah MNguyen TNowozin SOgus AOverweg HRowstron ASah MSakakura MScholtz PSchreiner NSella OSmith AStefanovici ISweeney DThomsen BVerkes GWainman PWestcott JWeston LWhittaker CWilke Berenguer PWilliams HWinkler TWinzeck SDruschel PKaufmann AMace JFlinn JSeltzer M(2023)Project Silica: Towards Sustainable Cloud Archival Storage in GlassProceedings of the 29th Symposium on Operating Systems Principles10.1145/3600006.3613208(166-181)Online publication date: 23-Oct-2023
https://dl.acm.org/doi/10.1145/3600006.3613208
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https://dl.acm.org/doi/10.1145/3394286
Memishi BAppuswamy RParadies M(2019)Cold Storage Data ArchivesProceedings of the 15th International Workshop on Data Management on New Hardware10.1145/3329785.3329921(1-7)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1145/3329785.3329921
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ROS: A Rack-based Optical Storage System with Inline Accessibility for Long-Term Data Preservation
1. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Operating systems

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cover image ACM Conferences

EuroSys '17: Proceedings of the Twelfth European Conference on Computer Systems

April 2017

648 pages

ISBN:9781450349383

DOI:10.1145/3064176

Copyright © 2017 ACM.

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Published: 23 April 2017

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EuroSys '17: Twelfth EuroSys Conference 2017

April 23 - 26, 2017

Belgrade, Serbia

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Overall Acceptance Rate 241 of 1,308 submissions, 18%

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Cited By

Anderson PAranas EAssaf YBehrendt RBlack RCaballero MCameron PCanakci BDe Carvalho TChatzieleftheriou AStoran Clarke RClegg JCletheroe DCooper BDeegan TDonnelly ADrevinskas RGaunt AGkantsidis CGomez Diaz AHaller IHong FIlieva TJoshi SJoyce RKunkel MLara DLegtchenko SLiu FMagalhaes BMarzoev AMcnett MMohan JMyrah MNguyen TNowozin SOgus AOverweg HRowstron ASah MSakakura MScholtz PSchreiner NSella OSmith AStefanovici ISweeney DThomsen BVerkes GWainman PWestcott JWeston LWhittaker CWilke Berenguer PWilliams HWinkler TWinzeck SDruschel PKaufmann AMace JFlinn JSeltzer M(2023)Project Silica: Towards Sustainable Cloud Archival Storage in GlassProceedings of the 29th Symposium on Operating Systems Principles10.1145/3600006.3613208(166-181)Online publication date: 23-Oct-2023
https://dl.acm.org/doi/10.1145/3600006.3613208
Yang YCao QYao JJiang HYang L(2020)Batch-file Operations to Optimize Massive Files AccessingACM Transactions on Storage10.1145/339428616:3(1-25)Online publication date: 16-Jul-2020
https://dl.acm.org/doi/10.1145/3394286
Memishi BAppuswamy RParadies M(2019)Cold Storage Data ArchivesProceedings of the 15th International Workshop on Data Management on New Hardware10.1145/3329785.3329921(1-7)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1145/3329785.3329921
Appuswamy RGraefe GBorovica-Gajic RAilamaki A(2019)The five-minute rule 30 years later and its impact on the storage hierarchyCommunications of the ACM10.1145/331816362:11(114-120)Online publication date: 24-Oct-2019
https://dl.acm.org/doi/10.1145/3318163
Yang YCao QJiang HYang LYao JDong YYang P(2019)BFO: Batch-File Operations on Massive Files for Consistent Performance Improvement2019 35th Symposium on Mass Storage Systems and Technologies (MSST)10.1109/MSST.2019.00-17(38-50)Online publication date: May-2019
https://doi.org/10.1109/MSST.2019.00-17
Parhami B(2019)Data Longevity and CompatibilityEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_331(559-563)Online publication date: 20-Feb-2019
https://doi.org/10.1007/978-3-319-77525-8_331
Appuswamy R(2019)Cheap Data Analytics on Cold StorageEncyclopedia of Big Data Technologies10.1007/978-3-319-77525-8_147(435-443)Online publication date: 20-Feb-2019
https://doi.org/10.1007/978-3-319-77525-8_147
Parhami B(2018)Data Longevity and CompatibilityEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_331-1(1-5)Online publication date: 1-May-2018
https://doi.org/10.1007/978-3-319-63962-8_331-1
Appuswamy R(2018)Cheap Data Analytics on Cold StorageEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_147-1(1-8)Online publication date: 5-Feb-2018
https://doi.org/10.1007/978-3-319-63962-8_147-1

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