Title :
Computation in faulty stars [hypercube networks]
Author :
Bagherzadeh, Nader ; Dowd, Martin
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
fDate :
3/1/1995 12:00:00 AM
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;
Journal_Title :
Reliability, IEEE Transactions on