• DocumentCode
    2076558
  • Title

    PRUN : Eliminating Information Redundancy for Large Scale Data Backup System

  • Author

    Won, Youjip ; Kim, Rakie ; Ban, Jongmyeong ; Hur, Jungpil ; Oh, Sangkyu ; Lee, Jangsun

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hanyang Univ., Seoul
  • fYear
    2008
  • fDate
    June 30 2008-July 3 2008
  • Firstpage
    139
  • Lastpage
    144
  • Abstract
    In this work, we develop novel backup system, PRUN, for massive scale data storage. PRUN aims at improving the backup latency and storage overhead of backup via effectively eliminating information redundancy in the files. PRUN eliminates intra-file and inter-file information redundancy. PRUN consists of client module and server module. PRUN consists of three key technical ingredients: redundancy detection, fingerprint manager, and chunk manager. File chunking for redundancy detection is the most time consuming task in backup. For efficient file chunking, we develop incremental modulo-K algorithm which enables us to improve the file chunking time significantly. We perform various experiment to measure the overhead of each tasks in backup operation and to examine the efficiency of redundancy elimination. Incremental modulo-K reduces the file chunking latency by approximately 60%. Redundancy elimination scheme can reduce the storage requirement of backup by 80% when we backup different minor versions of Linux 2.6 kernel source.
  • Keywords
    data handling; Linux 2.6 kernel source; backup latency; chunk manager; file chunking latency; fingerprint manager; incremental modulo-K algorithm; information redundancy; interfile information redundancy; large scale data backup system; massive scale data storage; redundancy detection; Application software; Bandwidth; Delay; File systems; Fingerprint recognition; Large-scale systems; Law; Legal factors; Partitioning algorithms; Video compression; backup; de-duplication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Its Applications, 2008. ICCSA '08. International Conference on
  • Conference_Location
    Perugia
  • Print_ISBN
    978-0-7695-3243-1
  • Type

    conf

  • DOI
    10.1109/ICCSA.2008.46
  • Filename
    4561214