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BlåtAnt: Bounding Networks’ Diameter with a Collaborative Distributed Algorithm

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Ant Colony Optimization and Swarm Intelligence (ANTS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5217))

Abstract

In this paper we describe BlåtAnt, a new algorithm to create overlay networks with small diameters. BlåtAnt is a fully distributed and adaptive algorithm inspired by Ant Colony Optimization (ACO), which targets dynamic and evolving networks without requiring a global knowledge. Simulation results show that our approach results in networks with a bounded diameter. This algorithm, implemented and empirically tested, will be the foundation of a fully decentralized resource discovery mechanism optimized for networks with small diameters.

Research supported by the Swiss Hasler Foundation (“ManCom Initiative”, project Nr. 2122).

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Authors and Affiliations

  1. Department of Informatics, University of Fribourg, Switzerland

    Amos Brocco, Fulvio Frapolli & Béat Hirsbrunner

Authors
  1. Amos Brocco
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  2. Fulvio Frapolli
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  3. Béat Hirsbrunner
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Editor information

Marco Dorigo Mauro Birattari Christian Blum Maurice Clerc Thomas Stützle Alan F. T. Winfield

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© 2008 Springer-Verlag Berlin Heidelberg

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Brocco, A., Frapolli, F., Hirsbrunner, B. (2008). BlåtAnt: Bounding Networks’ Diameter with a Collaborative Distributed Algorithm. In: Dorigo, M., Birattari, M., Blum, C., Clerc, M., Stützle, T., Winfield, A.F.T. (eds) Ant Colony Optimization and Swarm Intelligence. ANTS 2008. Lecture Notes in Computer Science, vol 5217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87527-7_27

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  • DOI: https://doi.org/10.1007/978-3-540-87527-7_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87526-0

  • Online ISBN: 978-3-540-87527-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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