• DocumentCode
    2374513
  • Title

    Probabilistic Analysis on Mesh Network Fault Tolerance: Deterministic vs. Stochastic

  • Author

    Wang, Gaocai ; Li, Taoshen ; Chen, Jianer

  • Author_Institution
    Sch. of Comput. & Electron. Inf., Guangxi Univ., Nanning, China
  • fYear
    2010
  • fDate
    11-13 Dec. 2010
  • Firstpage
    731
  • Lastpage
    736
  • Abstract
    In this paper, following our recent developed concept of subnet model in mesh networks, we continue to investigate the characterizations of probabilistic fault tolerance for the mesh networks with faulty node. We consider two fault models: each node has deterministic or stochastic failure probability, then we study the fault tolerance of mesh networks based on our novel technique - subnet model. We derive lower bounds on the connectivity probability for mesh networks. Our study shows that mesh networks of practical size can tolerate a large number of faulty nodes thus are reliable enough for multicomputer systems under deterministic or stochastic node failure probability. Comparing with deterministic node failure probability, stochastic model is close to realistic case.
  • Keywords
    fault tolerant computing; multiprocessor interconnection networks; stochastic processes; deterministic failure probability; mesh network fault tolerance; probabilistic analysis; probabilistic fault tolerance; stochastic failure probability; fault tolerance; k-submesh; mesh network; node failure probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded and Ubiquitous Computing (EUC), 2010 IEEE/IFIP 8th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-9719-5
  • Electronic_ISBN
    978-0-7695-4322-2
  • Type

    conf

  • DOI
    10.1109/EUC.2010.115
  • Filename
    5703602