• DocumentCode
    3124963
  • Title

    Shaman: A Self-Healing Database System

  • Author

    Duan, Songyun ; Franklin, Peter ; Thummala, Vamsidhar ; Zhao, Dongdong ; Babu, Shivnath

  • Author_Institution
    Dept. of Comput. Sci., Duke Univ., Durham, NC
  • fYear
    2009
  • fDate
    March 29 2009-April 2 2009
  • Firstpage
    1539
  • Lastpage
    1542
  • Abstract
    A self-healing system is a grand-challenge vision where the system will detect, diagnose, and repair performance problems and hardware/software faults automatically. These systems take humans out of the failure-recovery loop, enabling recovery to happen at fast machine timescales rather than slower human timescales. Are self-healing database systems Utopia or just a hard puzzle to solve? We argue for the latter and propose to demonstrate a self-healing database system, called Shaman, that is being prototyped at Duke.
  • Keywords
    fault tolerant computing; relational databases; system recovery; Shaman self-healing database system; failure-recovery loop; relational database; Computer science; Data engineering; Database systems; Fault detection; Hardware; Humans; Machine vision; Resource management; USA Councils; Virtual manufacturing; Database system; queuing networks; self-healing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1084-4627
  • Print_ISBN
    978-1-4244-3422-0
  • Electronic_ISBN
    1084-4627
  • Type

    conf

  • DOI
    10.1109/ICDE.2009.136
  • Filename
    4812567