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Strongly diagnosable product networks under the comparison diagnosis model

  作者 Hsieh, SY; Chen, YS  
  选自 期刊  IEEE Transactions on Computers;  卷期  2008年57-6;  页码  721-732  
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[摘要]The notion of diagnosability has long played an important role in measuring the reliability of multiprocessor systems. Such a system is t-diagnosable if all faulty nodes can be identified without replacement when the number of faults does not exceed t, where t is some positive integer. Furthermore, a system is strongly t-diagnosable if it can achieve (t + 1)-diagnosability, except for the case where a node's neighbors are all faulty. In this paper, we investigate the strong diagnosability of a class of product networks, under the comparison diagnosis model. Based on our results, we can determine the strong diagnosability of several widely used multiprocessor systems, such as hypercubes, mesh-connected k-ary n-cubes, torus-connected k-ary n-cubes, and hyper-Petersen networks.

 
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