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Conditional Diagnosability of Twisted-Cube Connected Networks

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Proceedings of International Conference on Computer Science and Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 255))

Abstract

The growing size of a multiprocessor system increases its vulnerability to component failures. It is crucial to locate and replace the faulty processors to maintain a system’s high reliability. The fault diagnosis is the process of identifying faulty processors in a system through testing. Through fault tolerance analysis of the multiprocessor system based on twisted-cube connected network TN n , we derive the conditional diagnosability of the system, which is about three times of its classical diagnosability under the comparison model.

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Acknowledgments

This work was partly supported by the National Natural Science Foundation of China (No. 61072080), Natural Science Foundation of Fujian Province (Nos. 2013J01221, JA12073).

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Authors and Affiliations

  1. School of Mathematics and Computer Science, Fujian Normal University, Fuzhou, 350007, Fujian, China

    Xiaoyan Li, Lishan Lu & Shuming Zhou

  2. Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou, 350007, Fujian, China

    Shuming Zhou

Authors
  1. Xiaoyan Li
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  2. Lishan Lu
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  3. Shuming Zhou
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Corresponding author

Correspondence to Shuming Zhou .

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Editors and Affiliations

  1. Computer Science and Engineering, SOA University, Bhubaneswar, India

    Srikanta Patnaik

  2. Electronics and Computer Engineering Technology, Indiana State University, Terre Haute, IN, USA

    Xiaolong Li

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Li, X., Lu, L., Zhou, S. (2014). Conditional Diagnosability of Twisted-Cube Connected Networks. In: Patnaik, S., Li, X. (eds) Proceedings of International Conference on Computer Science and Information Technology. Advances in Intelligent Systems and Computing, vol 255. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1759-6_43

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  • DOI: https://doi.org/10.1007/978-81-322-1759-6_43

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1758-9

  • Online ISBN: 978-81-322-1759-6

  • eBook Packages: EngineeringEngineering (R0)

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