• DocumentCode
    764106
  • Title

    Computation in faulty stars [hypercube networks]

  • Author

    Bagherzadeh, Nader ; Dowd, Martin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
  • Volume
    44
  • Issue
    1
  • fYear
    1995
  • fDate
    3/1/1995 12:00:00 AM
  • Firstpage
    114
  • Lastpage
    119
  • Abstract
    The question of simulating a completely healthy hypercube with a degraded one (one with some faulty processors) has been considered by several authors. We consider the question for the star-graph interconnection network. With suitable assumptions on the fault probability, there is, with high probability, a bounded distance embedding of Kn×Sn-1 in a degraded Sn , of congestion O(n). By a different method, a congestion O(log(n)) embedding of S, can be obtained. For the hypercube O(1) congestion has been obtained, but this is open for the star graph. Other results presented include a guaranteed O(n) slowdown simulation if there are sufficiently few faults, and upper and lower bounds for the minimal size of a system of faults rendering faulty every m-substar
  • Keywords
    fault tolerant computing; hypercube networks; probability; bounded distance embedding; fault probability; fault tolerant multicomputing; faulty stars; hypercubes; network congestion; slowdown simulation; star-graph interconnection network; Computational modeling; Computer networks; Degradation; Fault tolerance; Fourier transforms; Hypercubes; Intelligent networks; Multiprocessor interconnection networks; Polynomials; Tin;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/24.376530
  • Filename
    376530