(t, k)-Diagnosability for Regular Networks

  • Authors:
  • Guey-Yun Chang

  • Affiliations:
  • National Central University, Taoyuan

  • Venue:
  • IEEE Transactions on Computers
  • Year:
  • 2010

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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 \ge 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.