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Reliability analysis of complex models using SURE bounds

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2 Author(s)
D. M. Nicol ; Dept. of Comput. Sci., Coll. of William & Mary, Williamsburg, VA, USA ; D. L. Palumbo

As computer and communication systems become more complex it becomes increasingly more difficult to analyze their hardware reliability, because simple models can fail to adequately-capture subtle but important features. This paper describes several ways the authors have addressed this problem for analyses based upon White's SURE theorem. They show: how reliability analysis based on SURE mathematics can attack very large problems by accepting recomputation in order to reduce memory usage; how such analysis can be parallelized both on multiprocessors and on networks of ordinary workstations, and obtain excellent performance gains by doing so; how the SURE theorem supports efficient Monte Carlo based estimation of reliability; and the advantages of the method. Empirical studies of large models solved using these methods show that they are effective in reducing the solution-time of large complex problems

Published in:

IEEE Transactions on Reliability  (Volume:44 ,  Issue: 1 )