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R-ADMAD: High reliability provision for large-scale de-duplication archival storage systems

  • Chuanyi Liu
  • , Yu Gu
  • , Linchun Sun
  • , Bin Yan
  • , Dongsheng Wang*
  • *Corresponding author for this work
  • Tsinghua University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Data de-duplication has become a commodity component in data-intensive systems and it is required that these systems provide high reliability comparable to others. Unfortunately, by storing duplicate data chunks just once, de-duped system improves storage utilization at cost of error resilience or reliability. In this paper, R-ADMAD, a high reliability provision mechanism is proposed. It packs variable-length data chunks into fixed sized objects, and exploits ECC codes to encode the objects and distributes them among the storage nodes in a redundancy group, which is dynamically generated according to current status and actual failure domains. Upon failures, R-ADMAD proposes a distributed and dynamic recovery process. Experimental results show that R-ADMAD can provide the same storage utilization as RAID-like schemes, but comparable reliability to replication based schemes with much more redundancy. The average recovery time of R-ADMAD based configurations is about 2-6 times less than RAID-like schemes. Moreover, R-ADMAD can provide dynamic load balancing even without the involvement of the overloaded storage nodes.

Original languageEnglish
Title of host publicationICS'09 - Proceedings of the 23rd International Conference on Supercomputing
Pages370-379
Number of pages10
DOIs
StatePublished - 2009
Externally publishedYes
Event23rd International Conference on Supercomputing, ICS'09 - Yorktown Heights, NY, United States
Duration: 8 Jun 200912 Jun 2009

Publication series

NameProceedings of the International Conference on Supercomputing

Conference

Conference23rd International Conference on Supercomputing, ICS'09
Country/TerritoryUnited States
CityYorktown Heights, NY
Period8/06/0912/06/09

Keywords

  • Data de-duplication
  • Error correcting code
  • Reliability

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