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Abstract: . IP Multicast has enabled a variety of large-scale applications on the Internet which would otherwise bombard the network and the content servers if unicast communication was used. However, the efficiency of multicast is often constrained by preference heterogeneity, where receivers range in their preferences for application data. We examine an approach in which approximately similar preferences are clustered together and transmitted on a limited number of multicast addresses, while consuming... (Update)
Context of citations to this paper: More
.... The protocol to coordinate sources and receivers to perform clustering is outside the scope of this paper, and we describe it elsewhere [21]. We conducted detailed simulation experiments to study various issues and tradeoffs in applying clustering to different preference...
...groups increases. 21] Several recent proposals reduce multicast state through aggregation [17, 21] application level clustering [14, 25, 26], tunneling [5, 6] and non branching state elimination [22, 20] We briefly describe these works next. 1.2 Multicast State Reduction...
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BibTeX entry: (Update)
T. Wong, R. Katz, and S. McCanne, "A preference clustering protocol for large-scale multicast applications," in Proceedings of the First International Workshop on Networked Group Communication, November 1999. http://citeseer.ist.psu.edu/wong99preference.html More
@inproceedings{ wong99preference,
author = "Tina Wong and Randy H. Katz and Steven McCanne",
title = "A Preference Clustering Protocol for Large-Scale Multicast Applications",
booktitle = "Networked Group Communication",
pages = "1-18",
year = "1999",
url = "citeseer.ist.psu.edu/wong99preference.html" }
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An Evaluation of Preference Clustering in Large-Scale.. - Wong, Katz, McCanne (2000) (Correct)
An Analysis of Multicast Forwarding State Scalability - Tina Wong And (2000) (Correct)
An Analysis of Multicast Forwarding State Scalability - Wong, Katz (2000) (Correct)
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