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To determine whether this estimate was accurate for real multicast distribution trees, we measured the metric, delta, for a number of real groups. Furthermore, we explored the metric's dependence on temporal and spatial factors such as receiver duration and inter-arrival times as well as receiver distribution.
The first graph to the left is for a real group where the temporal domain has been stretched by randomizing receiver duration and inter-arrival times. The second graph stretches the spatial domain by using random receiver distributions. To collect this "synthesized" dataset, we traced paths from a local source to a random collection of receivers over the current multicast infrastructure of the Internet. So, although the receiver distribution was random, the underlying topology was not.
So, the efficiency estimate holds over a wide range of group dynamics and distributions within a small range of values of epsilon, from -.30 to -.34. The estimate tells us how efficient an inter-domain multicast should be. With even a small number of receivers, multicast out-performs unicast by a wide margin. For 20 to 40 receivers, we can expect a 60-70% increase in efficiency, reaching 80% for 150 receivers.
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