Brief announcement: node sampling using centrifugal random walks

  • Authors:
  • Andrés Sevilla;Alberto Mozo;Antonio Fernández Anta

  • Affiliations:
  • Dpto Informática Aplicada, U. Politécnica de Madrid, Madrid, Spain;Dpto Arquitectura y Tecnología de Computadores, U. Politécnica de Madrid, Madrid, Spain;Institute IMDEA Networks, Madrid, Spain

  • Venue:
  • DISC'12 Proceedings of the 26th international conference on Distributed Computing
  • Year:
  • 2012

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Abstract

We propose distributed algorithms for sampling networks based on a new class of random walks that we call Centrifugal Random Walks (CRW). A CRW is a random walk that starts at a source and always moves away from it. We propose CRW algorithms for connected networks with arbitrary probability distributions, and for grids and networks with regular concentric connectivity with distance based distributions. All CRW sampling algorithms select a node with the exact probability distribution, do not need warm-up, and end in a number of hops bounded by the network diameter.