Applied multivariate techniques
Applied multivariate techniques
A case for end system multicast (keynote address)
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Communications of the ACM
Bayeux: an architecture for scalable and fault-tolerant wide-area data dissemination
NOSSDAV '01 Proceedings of the 11th international workshop on Network and operating systems support for digital audio and video
Scalable application layer multicast
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Visualizing Weighted Edges in Graphs
IV '03 Proceedings of the Seventh International Conference on Information Visualization
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Application-layer multicasting with Delaunay triangulation overlays
IEEE Journal on Selected Areas in Communications
Routing of multipoint connections
IEEE Journal on Selected Areas in Communications
A survey of proposals for an alternative group communication service
IEEE Network: The Magazine of Global Internetworking
Hierarchical clustering based on mathematical optimization
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
A qos-based scheduling mechanism for overlay aggregate traffics
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
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This paper introduces a flexible new method of constructing hierarchical multicast structures suitable for supporting large-scale GRID applications. Hierarchical multicast trees are constructed by repeated application of clustering algorithms that partition the members of a large application community to form a layered hierarchy of clusters of users. The hierarchies are examples of application overlay networks that do not rely on network layer facilities for multicast transmission. The centralized method described applies clustering based either on the geographical location of users or by using more standard network topology measures. Our results show favourable performance when compared with the tree-building algorithm of the NICE protocol for overlay networks. Both NICE and our clustering approach build overlay networks which offer a compromise between the 'stress' on network links and the 'stretch' or increase in delay to users caused by the application layer overlay.