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RobuSTore: a distributed storage architecture with robust and high performance

Published: 10 November 2007 Publication History

Abstract

Emerging large-scale scientific applications require to access large data objects in high and robust performance. We propose RobuSTore, a storage architecture that combines erasure codes and speculative access mechanisms for parallel write and read in distributed environments. The mechanisms can effectively aggregate the bandwidth from a large number of distributed disks and statistically tolerate pear-disk performance variation. Our simulation results affirm the high and robust performance of RobuSTore in both write and read operations compared to traditional parallel storage systems. For example, for a 1GB data access using 64 disks, RobuSTore achieves average bandwidth of 186MBps for write and 400MBps for read, nearly 6x and 15x that achieved by a RAID-0 system. The standard deviation of access latency is only 0.5 second, about 9% of the write latency and 20% of the read latency, and a 5-fold improvement from RAID-0. The improvements are achieved at moderate cost: about 40% increase in I/O operations and 2x-3x increase in storage capacity utilization.

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cover image ACM Conferences
SC '07: Proceedings of the 2007 ACM/IEEE conference on Supercomputing
November 2007
723 pages
ISBN:9781595937643
DOI:10.1145/1362622
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 10 November 2007

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SC '07 Paper Acceptance Rate 54 of 268 submissions, 20%;
Overall Acceptance Rate 1,516 of 6,373 submissions, 24%

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Cited By

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  • (2022)KuaProceedings of the 9th ACM Conference on Information-Centric Networking10.1145/3517212.3558083(56-66)Online publication date: 6-Sep-2022
  • (2019)Securing Cloud Data Under Key ExposureIEEE Transactions on Cloud Computing10.1109/TCC.2017.26705597:3(838-849)Online publication date: 1-Jul-2019
  • (2018)Toward Shared Ownership in the CloudIEEE Transactions on Information Forensics and Security10.1109/TIFS.2018.283764813:12(3019-3034)Online publication date: 1-Dec-2018
  • (2017)Content Espresso: A Distributed Large File Sharing System for Digital Content ProductionsIEICE Transactions on Information and Systems10.1587/transinf.2017EDP7048E100.D:9(2100-2117)Online publication date: 2017
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  • (2017)Delay-Optimized File Retrieval under LT-Based Cloud StorageIEEE Transactions on Cloud Computing10.1109/TCC.2015.24303475:4(656-666)Online publication date: 1-Oct-2017
  • (2017)Binary random systematic erasure code for RAID system10.1063/1.4977391(090007)Online publication date: 2017
  • (2016)Multi-code Distributed Storage2016 IEEE 9th International Conference on Cloud Computing (CLOUD)10.1109/CLOUD.2016.0119(839-842)Online publication date: Jun-2016
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