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Self-healing in Binomial Graph Networks

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On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops (OTM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4806))

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Abstract

The number of processors embedded in high performance computing platforms is growing daily to solve larger and more complex problems. However, as the number of components increases, so does the probability of failure. The logical network topologies must also support the fault-tolerant capability in such dynamic environments. This paper presents a self-healing mechanism to improve the fault-tolerant capability of a Binomial graph (BMG) network. The self-healing mechanism protects BMG from network bisection and helps maintain optimal routing even in failure circumstances. The experimental results show that self-healing with an adaptive method significantly reduces the overhead from reconstructing the networks.

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Author information

Authors and Affiliations

  1. Department of Computer Science, The University of Tennessee, Knoxville, USA

    Thara Angskun, George Bosilca & Jack Dongarra

  2. Computer Science and Mathematics Division, Oak Ridge National Laboratory, USA

    Jack Dongarra

  3. Computer Science and Mathematics Schools, The University of Manchester, UK

    Jack Dongarra

Authors
  1. Thara Angskun
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  2. George Bosilca
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  3. Jack Dongarra
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Editor information

Robert Meersman Zahir Tari Pilar Herrero

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© 2007 Springer-Verlag Berlin Heidelberg

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Angskun, T., Bosilca, G., Dongarra, J. (2007). Self-healing in Binomial Graph Networks. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops. OTM 2007. Lecture Notes in Computer Science, vol 4806. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76890-6_30

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  • DOI: https://doi.org/10.1007/978-3-540-76890-6_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76889-0

  • Online ISBN: 978-3-540-76890-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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