Abstract
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.
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This work is sponsored in part by DARPA through the ‘Autonomous Negotiating Teams’ program under contract #F30602-00-C-0014, monitored by the Air Force Research Laboratory. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Defense Advanced Research Projects Agency or the U.S. Government.
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References
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© 2001 Springer-Verlag Berlin Heidelberg
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Fitzpatrick, S., Meertens, L. (2001). An Experimental Assessment of a Stochastic, Anytime, Decentralized, Soft Colourer for Sparse Graphs. In: Steinhöfel, K. (eds) Stochastic Algorithms: Foundations and Applications. SAGA 2001. Lecture Notes in Computer Science, vol 2264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45322-9_3
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DOI: https://doi.org/10.1007/3-540-45322-9_3
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