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LoneStar RAID: Massive Array of Offline Disks for Archival Systems

LoneStar RAID: Massive Array of Offline Disks for Archival Systems LoneStar RAID: Massive Array of Offline Disks for Archival Systems ´ MATTHIAS GRAWINKEL, LARS NAGEL, and ANDRE BRINKMANN, Johannes Gutenberg University Mainz The need for huge storage archives rises with the ever growing creation of data. With today's big data and data analytics applications, some of these huge archives become active in the sense that all stored data can be accessed at any time. Running and evolving these archives is a constant tradeoff between performance, capacity, and price. We present the LoneStar RAID, a disk-based storage architecture, which focuses on high reliability, low energy consumption, and cheap reads. It is designed for MAID systems with up to hundreds of disk drives per server and is optimized for "write once, read sometimes" workloads. We use dedicated data and parity disks, and export the data disks as individually accessible buckets. By intertwining disk groups into a two-dimensional RAID and improving single-disk reliability with intradisk redundancy, the system achieves an elastic fault tolerance that can at least recover all 3-disk failures. Furthermore, we integrate a cache to offload parity updates and a journal to track the RAID's state. The LoneStar RAID scheme provides a mean time to data loss (MTTDL) that http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Storage (TOS) Association for Computing Machinery

LoneStar RAID: Massive Array of Offline Disks for Archival Systems

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2016 by ACM Inc.
ISSN
1553-3077
DOI
10.1145/2840810
Publisher site
See Article on Publisher Site

Abstract

LoneStar RAID: Massive Array of Offline Disks for Archival Systems ´ MATTHIAS GRAWINKEL, LARS NAGEL, and ANDRE BRINKMANN, Johannes Gutenberg University Mainz The need for huge storage archives rises with the ever growing creation of data. With today's big data and data analytics applications, some of these huge archives become active in the sense that all stored data can be accessed at any time. Running and evolving these archives is a constant tradeoff between performance, capacity, and price. We present the LoneStar RAID, a disk-based storage architecture, which focuses on high reliability, low energy consumption, and cheap reads. It is designed for MAID systems with up to hundreds of disk drives per server and is optimized for "write once, read sometimes" workloads. We use dedicated data and parity disks, and export the data disks as individually accessible buckets. By intertwining disk groups into a two-dimensional RAID and improving single-disk reliability with intradisk redundancy, the system achieves an elastic fault tolerance that can at least recover all 3-disk failures. Furthermore, we integrate a cache to offload parity updates and a journal to track the RAID's state. The LoneStar RAID scheme provides a mean time to data loss (MTTDL) that

Journal

ACM Transactions on Storage (TOS)Association for Computing Machinery

Published: Jan 13, 2016

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