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Self-adapting network topologies in congested scenarios

Vicent Cholvi, Víctor Laderas, Luis López, and Antonio Fernández
Phys. Rev. E 71, 035103(R) – Published 21 March 2005

Abstract

Most studies in complex networks assume that once a link is created between two nodes it is never deleted. However, there is a recent interest towards systems where links can be rapidly rewired. An important issue in that type of networks is to discover the topology that, given a search algorithm, optimizes the search process. In this paper, we present a system model that, depending on the current network congestion, makes nodes to establish link connections so that the resulting topologies tend to a starlike when congestion is small and to randomlike topologies when congestion becomes relevant. Those topologies have been shown to be optimal in the above-mentioned conditions. Such a model can be easily implemented in practice and therefore, may be relevant in areas as the topology management of peer-to-peer networks.

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  • Received 20 April 2004

DOI:https://doi.org/10.1103/PhysRevE.71.035103

©2005 American Physical Society

Authors & Affiliations

Vicent Cholvi1, Víctor Laderas1, Luis López2, and Antonio Fernández2

  • 1Departamento de Lenguajes y Sistemas Informáticos, Universitat Jaume I, 12071 Castellón, Spain
  • 2Laboratorio de Algoritmia Distribuida, Universidad Rey Juan Carlos, 28933 Móstoles, Madrid, Spain

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Issue

Vol. 71, Iss. 3 — March 2005

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