Conditional Diagnosability of Complete Josephus Cubes

Abstract : The growing size of the multiprocessor system increases its vulnerability to component failures. The fault diagnosis is the process of identifying faulty processors in a system through self-testing, and the diagnosability is an important parameter to measure the reliability of an interconnection network. As a new measure of fault tolerance, conditional diagnosability can better evaluate the real diagnosability of interconnection networks. In this paper, we derive the conditional diagnosability of the multiprocessor systems in terms of Complete Josephus Cubes CJCn (n ≥ 8) under the comparison model.
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Ching-Hsien Hsu; Xiaoming Li; Xuanhua Shi; Ran Zheng. 10th International Conference on Network and Parallel Computing (NPC), Sep 2013, Guiyang, China. Springer, Lecture Notes in Computer Science, LNCS-8147, pp.220-231, 2013, Network and Parallel Computing. 〈10.1007/978-3-642-40820-5_19〉
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Lishan Lu, Shuming Zhou. Conditional Diagnosability of Complete Josephus Cubes. Ching-Hsien Hsu; Xiaoming Li; Xuanhua Shi; Ran Zheng. 10th International Conference on Network and Parallel Computing (NPC), Sep 2013, Guiyang, China. Springer, Lecture Notes in Computer Science, LNCS-8147, pp.220-231, 2013, Network and Parallel Computing. 〈10.1007/978-3-642-40820-5_19〉. 〈hal-01513769〉

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