research-article

High-Performance General Functional Regenerating Codes with Near-Optimal Repair Bandwidth

Authors:

Min FuAuthors Info & Claims

ACM Transactions on Storage (TOS), Volume 13, Issue 2

Article No.: 15, Pages 1 - 28

https://doi.org/10.1145/3051122

Published: 10 June 2017 Publication History

Abstract

Erasure codes are widely used in modern distributed storage systems to prevent data loss and server failures. Regenerating codes are a class of erasure codes that trade storage efficiency and computation for repair bandwidth reduction. However, their nonunified coding parameters and huge computational overhead prohibit their applications. Hence, we first propose a family of General Functional Regenerating (GFR) codes with uncoded repair, balancing storage efficiency and repair bandwidth with general parameters. The GFR codes take advantage of a heuristic repair algorithm, which makes efforts to employ as little repair bandwidth as possible to repair a single failure. Second, we also present a scheduled shift multiplication (SSM) algorithm, which accelerates the matrix product over the Galois field by scheduling the order of coding operations, so encoding and repairing of GFR codes can be executed by fast bitwise shifting and exclusive-OR. Compared to the traditional table-lookup multiplication algorithm, our SSM algorithm gains 1.2 to 2 X speedup in our experimental evaluations, with little effect on the repair success rate.

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Cited By

Gaeta R(2022)On the Impact of Pollution Attacks on Coding-Based Distributed Storage SystemsIEEE Transactions on Information Forensics and Security10.1109/TIFS.2022.314092417(292-302)Online publication date: 2022
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https://doi.org/10.1145/3407193
Peng XQian W(2018)Stochastic Circuit Synthesis by Cube AssignmentIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2018.278972537:12(3109-3122)Online publication date: 19-Nov-2018
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Index Terms

High-Performance General Functional Regenerating Codes with Near-Optimal Repair Bandwidth

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Published In

cover image ACM Transactions on Storage

ACM Transactions on Storage Volume 13, Issue 2

Special Issue on MSST 2016 and Regular Papers

May 2017

199 pages

ISSN:1553-3077

EISSN:1553-3093

DOI:10.1145/3098275

Editor:
Sam H. Noh
Ulsan National Institute of Science and Technology, Ulsan, Korea

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Copyright © 2017 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 June 2017

Accepted: 01 February 2017

Revised: 01 December 2016

Received: 01 September 2015

Published in TOS Volume 13, Issue 2

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National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
National High Technology Research and Development Program of China (863 Program)
National Basic Research Program of China (973 Program)
National Key Technology R8D Program of China
Natural Science Foundation of Hubei Province

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Cited By

Gaeta R(2022)On the Impact of Pollution Attacks on Coding-Based Distributed Storage SystemsIEEE Transactions on Information Forensics and Security10.1109/TIFS.2022.314092417(292-302)Online publication date: 2022
https://doi.org/10.1109/TIFS.2022.3140924
Ye LFeng DHu YWei X(2020)Hybrid CodesACM Transactions on Storage10.1145/340719316:4(1-26)Online publication date: 12-Nov-2020
https://doi.org/10.1145/3407193
Peng XQian W(2018)Stochastic Circuit Synthesis by Cube AssignmentIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2018.278972537:12(3109-3122)Online publication date: 19-Nov-2018
https://dl.acm.org/doi/10.1109/TCAD.2018.2789725
Xu QXi WYong KJin C(2018)CRL: Efficient Concurrent Regeneration Codes with Local Reconstruction in Geo-Distributed Storage SystemsJournal of Computer Science and Technology10.1007/s11390-018-1877-533:6(1140-1151)Online publication date: 19-Nov-2018
https://doi.org/10.1007/s11390-018-1877-5

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