• DocumentCode
    2026096
  • Title

    On The Generalization of Error-Correcting WOM Codes

  • Author

    Anxiao Jiang

  • Author_Institution
    Dept. of Comput. Sci., Texas A&M Univ., College Station, TX
  • fYear
    2007
  • fDate
    24-29 June 2007
  • Firstpage
    1391
  • Lastpage
    1395
  • Abstract
    WOM (write once memory) codes are codes for efficiently storing and updating data in a memory whose state transition is irreversible. Storage media that can be classified as WOM includes flash memories, optical disks and punch cards. Error-correcting WOM codes can correct errors besides its regular data updating capability. They are increasingly important for electronic memories using MLCs (multi-level cells), where the stored data are prone to errors. In this paper, we study error-correcting WOM codes that generalize the classic models. In particular, we study codes for jointly storing and updating multiple variables - instead of one variable - in WOMs with multi-level cells. The error-correcting codes we study here are also a natural extension of the recently proposed floating codes. We analyze the performance of the generalized error- correcting WOM codes and present several bounds. The number of valid states for a code is an important measure of its complexity. We present three optimal codes for storing two binary variables in n q-ary cells, where n = 1,2,3, respectively. We prove that among all the codes with the minimum number of valid states, the three codes maximize the total number of times the variables can be updated.
  • Keywords
    digital storage; error correction codes; binary variables; electronic memory; error-correcting WOM codes; floating codes; multilevel cells; optimal codes; regular data updating capability; storage media; write once memory code; Application software; Computer science; Electronic mail; Error correction; Error correction codes; File systems; Flash memory; Geometry; Linear code; Threshold voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2007. ISIT 2007. IEEE International Symposium on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-1397-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2007.4557417
  • Filename
    4557417