• DocumentCode
    179931
  • Title

    Asymptotic analysis of failed recovery probability in a distributed wireless storage system with limited sum storage capacity

  • Author

    Bi Hong ; Wan Choi

  • Author_Institution
    Korea Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    6459
  • Lastpage
    6463
  • Abstract
    In distributed wireless storage systems, failed recovery probability depends on not only wireless channel conditions but also storage size of each distributed storage node. For efficient utilization of limited storage capacity, we asymptotically analyze the failed recovery probability of a distributed wireless storage system with a sum storage capacity constraint when signal-to-noise ratio goes to infinity, and find the optimal storage allocation strategy across distributed storage nodes in terms of the asymptotic failed recovery probability. It is also shown that when the number of storage nodes is sufficiently large the storage size required at each node is not so large for high exponential order of the failed recovery probability.
  • Keywords
    distributed memory systems; probability; storage allocation; storage management; system recovery; wireless channels; wireless sensor networks; asymptotic analysis; asymptotic failed recovery probability; distributed storage node; distributed wireless storage systems; exponential order; failed recovery probability; limited sum storage capacity constraint; optimal storage allocation strategy; signal-to-noise ratio; storage nodes; storage size; wireless channel conditions; Approximation methods; Capacity planning; Decoding; Distributed databases; Resource management; Signal to noise ratio; Wireless communication; Distributed storage system; failed recovery; maximum distance separable coding; wireless storage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854848
  • Filename
    6854848