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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51503


    Title: (t, k)-Diagnosability for Regular Networks
    Authors: Chang,GY
    Contributors: 資訊工程學系
    Keywords: COMPARISON DIAGNOSIS MODEL;MATCHING COMPOSITION NETWORKS;SEQUENTIAL DIAGNOSIS;ENHANCED HYPERCUBES;DIAGNOSABILITY;SYSTEMS;GRAPHS
    Date: 2010
    Issue Date: 2012-03-27 18:54:41 (UTC+8)
    Publisher: 國立中央大學
    Abstract: System-level diagnosis aims to identify faulty processors in a multiprocessor system by means of analyzing the test results among the processors. (t, k)-Diagnosis, which is one of the most important system-level diagnosis strategies, requires at least k faulty processors identified in each iteration provided there are at most t faulty processors, where t >= k. In this paper, a new (t, k)-diagnosis algorithm for regular networks is proposed. Experimental results show that the proposed algorithm has larger values of t for tori and matching composition networks, in comparison with previous (t, k)-diagnosis algorithms.
    Relation: IEEE TRANSACTIONS ON COMPUTERS
    Appears in Collections:[資訊工程學系] 期刊論文

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