Scalable adaptive hierarchical clustering

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Abstract

We propose a new application-level clustering algorithm capable of building an overlay spanning tree among participants of large multicast sessions, without any specific help from the networkrouters. This algorithm is based on a unique definition of zones around nodes and an innovative adaptive cluster size distribution. The proposed method finds application in many context where large-scale overlay trees can be usefull: application-level multicasting, peer-to-peer networks and content distribution networks (among other things).

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APA

Mathy, L., Canonico, R., Simpson, S., & Hutchison, D. (2002). Scalable adaptive hierarchical clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2345, pp. 1172–1177). Springer Verlag. https://doi.org/10.1007/3-540-47906-6_103

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