System Level Diagnostics over the PMC Model
نویسنده
چکیده
System level diagnostics is targeted to complex computer systems. The basis of this diagnostics is defined by formal diagnostic models. The paper presents diagnostic process over the symmetric diagnostics model. A new Boolean syndrome decoding algorithms have been developed and implemented for the one-step diagnostics of t-diagnosable regular systems over this model. New Boolean expressions for the system model were defined for regular systems based on simplification of test syndrome decoding. The developed algorithms were tested on several examples of computer architectures and the results were compared with existing and published another syndrome decoding algorithms. The presented algorithms consume less time for larger computer systems in comparison with current algorithms.
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