• DocumentCode
    1231147
  • Title

    A unified task-based dependability model for hypercube computers

  • Author

    Das, Chita R. ; Kim, Jong

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    3
  • Issue
    3
  • fYear
    1992
  • fDate
    5/1/1992 12:00:00 AM
  • Firstpage
    312
  • Lastpage
    324
  • Abstract
    A unified analytical model for computing the task-based dependability (TDB) of hypercube architectures is presented. A hypercube is deemed operational as long as a task can be executed on the system. The technique can compute both reliability and availability for two types of task requirements-I-connected model and subcube model. The I-connected TBD assumes that a connected group of at least I working nodes is required for task execution. The subcube TBD needs at least an m-cube in an n-cube, mn, for task execution. The dependability is computed by multiplying the probability that x nodes (xI or x⩾2m) are working in an n-cube at time t by the conditional probability that the hypercube can satisfy any one of the two task requirements from x working nodes. Recursive models are proposed for the two types of task requirements to find the connection probability. The subcube requirement is extended to find multiple subcubes for analyzing multitask dependability. The analytical results are validated through extensive simulation
  • Keywords
    fault tolerant computing; hypercube networks; parallel architectures; availability; dependability; hypercube; hypercube architectures; reliability; subcube TBD; task-based dependability; Analytical models; Availability; Computer architecture; Government; Helium; Hypercubes; Performance analysis; Power engineering and energy; Power system modeling; Power system reliability;
  • fLanguage
    English
  • Journal_Title
    Parallel and Distributed Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9219
  • Type

    jour

  • DOI
    10.1109/71.139205
  • Filename
    139205