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For the data layer, a Poisson process with a gamma distributed rate is presumed.
Centralized rate control implemented at gateway routers offers many advantages over distributed rate control schemes.
We categorize two broad classes of distributed rate calculation algorithms in the literature using live algorithms as illustrations.
In [14], the authors propose a distributed rate allocation algorithm which minimizes the total distortion of all video streams.
In this paper, we propose an optimal distributed rate allocation scheme to solve the rate allocation problem in overlay multirate video multicasting systems.
In the past, maximization of concave utility functions and the resulting distributed rate allocation for elastic traffic have gained extensive attention.
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All models included gamma-distributed rate categories, the shape parameter of the distribution was estimated from the data.
The model of sequence evolution used was the generalized time-reversible (GTR) model with gamma-distributed rate variation.
We used the GTR model as the evolutionary model with gamma-distributed rate variation across sites and a proportion of invariable sites [15].
ML trees were inferred using PhyML [14], employing a General Time Reversible model with discrete gamma-distributed rate variation among sites (GTR-γ; 4 categories).
The default substitution model was selected, assuming an estimated proportion of invariant sites and four gamma-distributed rate categories to account for rate heterogeneity across sites.
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