A Tape RSE for Extremely Large Data Collection Backups

The Vera Rubin Observatory is a very ambitious project. Using the world’s largest ground-based telescope, it will take two panoramic sweeps of the visible sky every three nights using a 3.2 Giga-pixel camera. The observation products will generate 15 PB of new data each year for 10 years. Accounting for reprocessing and related data products the total amount of critical data will reach several hundred PB. Because the camera consists of 4kx4k CCD panels, the majority of the data products will consist of relatively small files in the low megabyte range, impacting data transfer performance. Yet, all of this data needs to be backed up in offline storage and still be easily retrievable not only for groups of files but also for individual files. This paper describes how we are building a Ruciocentric specialized Tape Remote Storage Element (TRSE) that automatically creates a copy of a Rucio dataset as a single indexed file avoiding transferring many small files. This not only allows high-speed transfer of the data to tape for backup and dataset restoral, but also simple retrieval of individual dataset members in order to restore lost files. We describe the design and implementation of the TRSE and how it relates to current data management practices. We also present performance characteristics that make backups of extremely large scale data collections practical.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701138
Primary Topic
Time Series Analysis and Forecasting
Type
article
Field-Weighted Citation Impact
0.00

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article

A Tape RSE for Extremely Large Data Collection Backups

Andrew Hanushevsky, Wei Yang, Guangwei Che, Lance Nakata
EPJ Web of Conferences
Time Series Analysis and Forecasting
article

A Tape RSE for Extremely Large Data Collection Backups

Andrew Hanushevsky, Wei Yang, Guangwei Che, Lance Nakata
article en

Abstract

The Vera Rubin Observatory is a very ambitious project. Using the world’s largest ground-based telescope, it will take two panoramic sweeps of the visible sky every three nights using a 3.2 Giga-pixel camera. The observation products will generate 15 PB of new data each year for 10 years. Accounting for reprocessing and related data products the total amount of critical data will reach several hundred PB. Because the camera consists of 4kx4k CCD panels, the majority of the data products will consist of relatively small files in the low megabyte range, impacting data transfer performance. Yet, all of this data needs to be backed up in offline storage and still be easily retrievable not only for groups of files but also for individual files. This paper describes how we are building a Ruciocentric specialized Tape Remote Storage Element (TRSE) that automatically creates a copy of a Rucio dataset as a single indexed file avoiding transferring many small files. This not only allows high-speed transfer of the data to tape for backup and dataset restoral, but also simple retrieval of individual dataset members in order to restore lost files. We describe the design and implementation of the TRSE and how it relates to current data management practices. We also present performance characteristics that make backups of extremely large scale data collections practical.

EPJ Web of ConferencesVol. 337
SLAC National Accelerator Laboratory (US)
National Science Foundation, U.S. Department of Energy, Science and Technology Facilities Council, SLAC National Accelerator Laboratory
Openalex Percentile: Top 66%
Time Series Analysis and Forecasting
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A Tape RSE for Extremely Large Data Collection Backups — Andrew Hanushevsky, Wei Yang, et al. · EPJ Web of Conferences (2025) | TGRS Research Map | TGRS