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BlåtAnt: Bounding Networks’ Diameter with a Collaborative Distributed Algorithm

  • Amos Brocco
  • Fulvio Frapolli
  • Béat Hirsbrunner
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Overlay Network Small World Global Knowledge Resource Discovery Bounding Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Amos Brocco
    • 1
  • Fulvio Frapolli
    • 1
  • Béat Hirsbrunner
    • 1
  1. 1.Department of InformaticsUniversity of FribourgSwitzerland

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