• DocumentCode
    629814
  • Title

    Using Markov models to estimate the reliability of RAID architectures

  • Author

    Radu, Mihaela

  • Author_Institution
    Dept. of Electr. & Comput. Eng. Technol., Farmingdale State Coll., Farmingdale, NY, USA
  • fYear
    2013
  • fDate
    3-3 May 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    RAID stands for Redundant Array of Independent Disks. It is a storage technology that combines multiple disk drive components into a logical unit. RAID is now used as an umbrella term for computer data storage schemes that can divide and replicate data among multiple physical drives. Reliability and availability are big concerns for any data storage system, including RAID architectures. In this paper, an alternative method estimating the reliability of various RAID architectures is presented, using the Markov models approach. The reliability analysis of various RAID architectures is performed using CARE-Computer Aided Reliability Engineering, an industrial software tool. Estimating the reliability of RAID architectures and combining them with the reliabilities of other elements of the system, it allows estimating the overall reliability of the system. Evaluating reliability and performance of RAID enable enterprises to identify the appropriate disk configurations, as part of their overall IT strategies.
  • Keywords
    Markov processes; RAID; computer architecture; software tools; CARE; IT strategies; Markov models; RAID architecture reliability; computer aided reliability engineering; computer data storage schemes; disk configurations; disk drive components; industrial software tool; logical unit; redundant array of independent disks; umbrella term; Arrays; Computational modeling; Markov processes; Mathematical model; Software reliability; Markov models; RAID disks; Redundancy; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Applications and Technology Conference (LISAT), 2013 IEEE Long Island
  • Conference_Location
    Farmingdale, NY
  • Print_ISBN
    978-1-4673-6244-3
  • Type

    conf

  • DOI
    10.1109/LISAT.2013.6578246
  • Filename
    6578246