• DocumentCode
    3515868
  • Title

    A simple equation for estimating reliability of an N+1 redundant array of independent disks (RAID)

  • Author

    Elerath, Jon G.

  • Author_Institution
    NetApp Inc., CA, USA
  • fYear
    2009
  • fDate
    June 29 2009-July 2 2009
  • Firstpage
    484
  • Lastpage
    493
  • Abstract
    This paper develops an equation that provides a good approximation of the expected number of double-disk failures (data losses) in an (N+1) redundant array of inexpensive disks (RAID) as a function of time. This paper includes the statistical bases for the equation, sources of error and inaccuracies due to approximations, and limitations of its use. The equation is simple and can be evaluated using a hand held calculator or basic spreadsheet. Accuracy depends on four input distributions, which include operational failures, operational failure restorations, latent defects, and data scrubbing. Failure and restoration distributions may represent non-homogeneous Poisson processes and, therefore, not have constant rates. Results of the equations are compared to two other hand calculation methods, to a highly accurate Monte Carlo simulation, and to actual field data for more than 10,000 RAID groups composed of 14 drives.
  • Keywords
    Monte Carlo methods; RAID; reliability theory; statistical analysis; stochastic processes; Monte Carlo simulation; RAID; data scrubbing; latent defect; nonhomogeneous Poisson process; operational failure restoration; redundant array of independent disk; reliability estimation; statistical bases; Computational modeling; Concrete; Differential equations; Hard disks; Heart; Memory; Poisson equations; Reliability; Technological innovation; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Systems & Networks, 2009. DSN '09. IEEE/IFIP International Conference on
  • Conference_Location
    Lisbon
  • Print_ISBN
    978-1-4244-4422-9
  • Electronic_ISBN
    978-1-4244-4421-2
  • Type

    conf

  • DOI
    10.1109/DSN.2009.5270303
  • Filename
    5270303