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A. T. Dahbura and G. M. Masson, “An O(n^2.5) Fault Identification Algorithm for Diagnosable Systems,” IEEE Transactions on Computers, Vol. 33, No. 6, 1984, pp. 486-492. doi:10.1109/TC.1984.1676472

has been cited by the following article:

• TITLE: Conditional Diagnosability of the Locally Twisted Cubes under the PMC Model

  AUTHORS: Ruitao Feng, Genqing Bian, Xinke Wang

  KEYWORDS: Locally Twisted Cubes, Diagnosability, Conditional Diagnosability, PMC Mode

  JOURNAL NAME: Communications and Network, Vol.3 No.4, November 16, 2011

  ABSTRACT: In a multiprocessor systems, it is important to local and to replace the faulty processors to maintain systempsilas high reliability. The fault diagnosis, which is the process of identifying fault processors in a multiprocessor system through testing. The conditional diagnosis requires that for each processor u in a system, all the processors that are directly connected to u do not fail at the same time. In this paper, we study the conditional diagnosability of the n-dimensional locally twisted cubes. After showing some properties of the locally twisted cubes, we prove that it under the PMC model is 4n – 7 for n ≥ 5.