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Diagnosability of Two-Matching Composition Networks

  • Sun-Yuan Hsieh
  • Chia-Wei Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5092)

Abstract

Diagnosability is an important metric for measuring the reliability of multiprocessor systems. In this paper, we study the diagnosability of a class of networks, called Two-Matching Composition Networks (2-MCNs), each of which is constructed by connecting two graphs via two perfect matchings. By applying our result to multiprocessor systems, we also compute the diagnosability of folded hypercubes and augmented cubes, both of which belong to two-matching composition networks.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Sun-Yuan Hsieh
    • 1
  • Chia-Wei Lee
    • 1
  1. 1.Department of Computer Science and Information EngineeringNational Cheng Kung UniversityTainanTaiwan

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