• DocumentCode
    2441839
  • Title

    DEBAR: A scalable high-performance de-duplication storage system for backup and archiving

  • Author

    Yang, Tianming ; Jiang, Hong ; Feng, Dan ; Niu, Zhongying ; Zhou, Ke ; Wan, Yaping

  • Author_Institution
    Wuhan Nat. Lab. for Optoelectron., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2010
  • fDate
    19-23 April 2010
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    Driven by the increasing demand for large-scale and high-performance data protection, disk-based de-duplication storage has become a new research focus of the storage industry and research community where several new schemes have emerged recently. So far these systems are mainly inline de-duplication approaches, which are centralized and do not lend themselves easily to be extended to handle global de-duplication in a distributed environment. We present DEBAR, a de-duplication storage system designed to improve capacity, performance and scalability for de-duplication backup/archiving. DEBAR performs post-processing de-duplication, where backup streams are de-duplicated and cached on server-disks through an in-memory preliminary filter in phase I, and then completely de-duplicated in-batch in phase II. By decentralizing fingerprint lookup and update, DEBAR supports a cluster of servers to perform de-duplication backup in parallel, and is shown to scale linearly in both write throughput and physical capacity, achieving an aggregate throughput of 1.7GB/s and supporting a physical capacity of 2PB with 16 backup servers.
  • Keywords
    information retrieval systems; records management; storage allocation; DEBAR system; archiving; backup; distributed environment; high-performance data protection; postprocessing de-duplication; scalable high-performance de-duplication storage system; storage industry; Aggregates; Bandwidth; Computer industry; Computer science; Data engineering; Fingerprint recognition; Large-scale systems; Protection; Scalability; Throughput; backup and archive; data de-duplication; post-processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel & Distributed Processing (IPDPS), 2010 IEEE International Symposium on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1530-2075
  • Print_ISBN
    978-1-4244-6442-5
  • Type

    conf

  • DOI
    10.1109/IPDPS.2010.5470468
  • Filename
    5470468