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Asymmetry in Repairing and Infection: The Case of a Self-repair Network

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6278))

Abstract

A self-repair network is a model consisting of autonomous nodes capable of repairing connected nodes. Self-repairing by mutual repair involves the ”double-edged sword” problem where repairing could cause adverse effects when done by abnormal nodes. Although self repair (as opposed to mutual repair) is not susceptible to this problem because an abnormal node always repairs itself, the possibility of normal nodes repairing abnormal nodes is lost. This note compares these two types of repair: mutual and self for a self-repair network with infections. With this extended model, abnormal nodes can spread not only by repair failures but also by infections.

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Author information

Authors and Affiliations

  1. Department of Knowledge-Based Information Engineering, Toyohashi University of Technology, Tempaku, Toyohashi, 441-8580, Japan

    Yoshiteru Ishida & Kei-ichi Tanabe

Authors
  1. Yoshiteru Ishida
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  2. Kei-ichi Tanabe
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Editor information

Editors and Affiliations

  1. School of Engineering, Cardiff University, The Parade, CF24 3AA, Cardiff, UK

    Rossitza Setchi

  2. Dept. of Computer Science and Software Engineering, University of Portsmouth, BUckingham Building, Lion Terrace, PO1 3HE, Portsmouth, UK

    Ivan Jordanov

  3. KES International, 145-157 St. John Street, EC1V 4PY, London, UK

    Robert J. Howlett

  4. School of Electrical and Information Engineering, University of South Australia, Adelaide, Mawson Lakes Campus, 5095, SA, Australia

    Lakhmi C. Jain

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© 2010 Springer-Verlag Berlin Heidelberg

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Ishida, Y., Tanabe, Ki. (2010). Asymmetry in Repairing and Infection: The Case of a Self-repair Network. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15393-8_72

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  • DOI: https://doi.org/10.1007/978-3-642-15393-8_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15392-1

  • Online ISBN: 978-3-642-15393-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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