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A Quick Pessimistic Diagnosis Algorithm for Hypercube-Like Multiprocessor Systems under the PMC Model
Feb. 2013 (vol. 62 no. 2)
pp. 259-267
Chang-Hsiung Tsai, National Dong Hwa University, Hualien
Processor fault diagnosis is an essential subject for the reliability of a multiprocessor system. The precise strategy and the pessimistic strategy are two classical diagnostic strategies which are based on the well-known PMC model. The precise strategy problem of fault diagnosis is discussed widely and demands that all processors be identified correctly, specifically that all fault-free processors are identified as "fault free” and all faulty processors are identified as "faulty.” The pessimistic diagnosis strategy is a process to diagnose faults that allows all faulty processors to be isolated within a set that contains at most one fault-free processor. In this paper, we study the pessimistic diagnosis strategy under the PMC model for hypercube-like multiprocessor systems. The contribution is to propose an efficient pessimistic diagnosis algorithm for hypercube-like multiprocessor systems. If we denote by N the total number of processors in the hypercube-like system to be diagnosed, the algorithm can run in O(N) time.
Index Terms:
Program processors,Fault diagnosis,Hypercubes,Multiprocessing systems,Algorithm design and analysis,Complexity theory,Testing,hypercube-like,Reliable system,system-level diagnosis,the PMC model,pessimistic strategy
Citation:
Chang-Hsiung Tsai, "A Quick Pessimistic Diagnosis Algorithm for Hypercube-Like Multiprocessor Systems under the PMC Model," IEEE Transactions on Computers, vol. 62, no. 2, pp. 259-267, Feb. 2013, doi:10.1109/TC.2011.228
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