• DocumentCode
    3124052
  • Title

    Optimal linear codes with a local-error-correction property

  • Author

    Prakash, N. ; Kamath, Govinda M. ; Lalitha, V. ; Kumar, P. Vijay

  • Author_Institution
    Dept. of ECE, Indian Inst. of Sci., Bangalore, India
  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    2776
  • Lastpage
    2780
  • Abstract
    Motivated by applications to distributed storage, Gopalan et al recently introduced the interesting notion of information-symbol locality in a linear code. By this it is meant that each message symbol appears in a parity-check equation associated with small Hamming weight, thereby enabling recovery of the message symbol by examining a small number of other code symbols. This notion is expanded to the case when all code symbols, not just the message symbols, are covered by such “local” parity. In this paper, we extend the results of Gopalan et. al. so as to permit recovery of an erased code symbol even in the presence of errors in local parity symbols. We present tight bounds on the minimum distance of such codes and exhibit codes that are optimal with respect to the local error-correction property. As a corollary, we obtain an upper bound on the minimum distance of a concatenated code.
  • Keywords
    Hamming codes; error correction codes; linear codes; parity check codes; Hamming weight; code symbols; concatenated code; distributed storage; erased code symbol; information-symbol locality; local parity symbols; local-error-correction property; message symbol; optimal linear codes; parity-check equation; Concatenated codes; Hamming weight; Linear code; Parity check codes; Silicon; Systematics; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4673-2580-6
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2012.6284028
  • Filename
    6284028