An Experimental Assessment of a Stochastic, Anytime, Decentralized, Soft Colourer for Sparse Graphs

  • Stephen Fitzpatrick
  • Lambert Meertens
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2264)


This paper reports on a simple, decentralized, anytime, stochastic, soft graph-colouring algorithm. The algorithm is designed to quickly reduce the number of colour conflicts in large, sparse graphs in a scalable, robust, low-cost manner. The algorithm is experimentally evaluated in a framework motivated by its application to resource coordination in large, distributed networks.


Constraint optimization conflict minimization decentralized algorithms anytime algorithms graph colouring 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Stephen Fitzpatrick
    • 1
  • Lambert Meertens
    • 1
  1. 1.Kestrel InstitutePalo AltoUSA

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