This paper proposes a Baysian network approach to fault diagnosis in distributed computer systems which use test transactions probes. A lower bound on the MPE diagnosis accuracy is derived and analyzed with respect to the problem parameters. An empirical study of a local-inference approximation scheme (algorithm approx-mpe( 1)) yields useful insights on the algorithm’s behavior and its applicability to the considered class of diagnosis problems: the approximation quality is higher for higher-MPE ("higher-quality") networks and "degrades gracefully" with noise.
By: Irina Rish, Mark A. Brodie, Haiqin Wang, Sheng Ma
Published in: RC22229 in 2001
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