Abstract:
Abstract--- Multicast distribution trees usually have multiple bottleneck links. Because of different bottleneck links, multicast users usually experience different receiving rate or packet loss characteristics. A multicast sender faces new challenges of how to handle different users. One solution is to cluster users into separate subgroups. Each subgroup will find a nearby user, called helper, to relay the content at later time, to transcode the content at lower rate, or to repair loss packets. We proposed to cluster users around the common helper. We applied an advertising algorithm for users to find the nearest helper. Such advertising algorithm required users exchange advertisement messages with each other. To avoid high control overhead, we introduce a novel scope controlled advertising algorithm to effectively control the scope of advertisement messages. Our simulation results showed that the traffic injected into network can be greatly reduced for over 50 % in some cases. The control traffic concentrated at each user mainly came from its local neighbors and a small number of remote helpers. I.
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