| Y. Yang, M. Kim, and S. Lam, "Optimal partitioning of multicast receivers, " in Proc. IEEE ICNP'00, Nov. 2000. |
....Specifically, Shacham [5] presented an optimal layer bandwidth allocation algorithm that maximizes the total utility for all the receivers. It employs an absolute utility function that depends only on the received bandwidth. Optimal algorithm using relative utility functions are presented in [6,11]. These allocation algorithms use end toend adaptation for the Internet environment and focus only on a single session case. Kar et al. 8] presented a distributed algorithm that maximizes the total utility for all the receivers belonging to different sessions by employing some intermediaries. In ....
Y. Yang, M. Kim, and S. Lain, "Optimal partitioning of multicast receivers," in Proceedings oflCNP'00, November 2000.
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Y. R. Yang, M. S. Kim, and S. S. Lam. Optimal partitioning of multicast receivers. In Proceedings of the 8th IEEE ICNP, Nov. 2000.
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Y. Richard Yang, Min Sik Kim, and Simon S. Lam. Optimal partitioning of multicast receivers. In Proceedings of the 8th IEEE International Conference on Network Protocols, Osaka, Japan, November 2000.
....change might not lead to quality improvement if the new incoming rate of a node does not exceed the cumulative rate of the next layer. However, Yang et al. have shown that 80 of the average incoming rate can be utilized with a few (4 or 5) layers if the rates of layers are chosen carefully [17]. This indicates that available bandwidth increase is likely to improve quality for receivers when layered encoding is used. 5 Evaluation To evaluate our protocols, we run simulations using several distributions of access link bandwidths. There are various types of access links ranging from 56 ....
....lines with bandwidth higher than 1 Mbps. Distribution of access link bandwidths also varies. In the simulations, we use the following distributions that include both slow ( 56 kbps 0.05 Mbps) and fast (# 5 Mbps) links. Similar distributions have been used in previous multicast studies [12, 17]. A uniform distribution over the interval [0.05, 5) A normal distribution with mean 2 and standard deviation 2. A bimodal distribution consisting of two normal distributions. The means are 0.05 and 2.5, and the standard deviations are 0.02 and 2, respectively. In our simulations, ....
Y. Richard Yang, Min Sik Kim, and Simon S. Lam. Optimal partitioning of multicast receivers. In Proceedings of the 8th IEEE International Conference on Network Protocols, Osaka, Japan, November 2000.
....not exceed the isolated rate 1 Figure 3: Stream assignment algorithm for cumulatively layered multicasting 3.1.2 Rate allocation The first rate allocation algorithm for cumulatively layered video multicast was proposed in [16] by maximizing the average signal reception quality. The authors in [18] proposed an optimal receiver partitioning algorithm based on the dynamic programming method to determine the optimal stream rates. We adopt this algorithm to allocate the optimal data rates for ff i . 3.2 Replicated stream multicast 3.2.1 Stream assignment A replicated stream multicast session ....
Y. R. Yang, M. S. Kim, and S. S. Lam, "Optimal partitioning of multicast receivers," Proceedings of ICNP
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Y. Yang, M. Kim, and S. Lam, "Optimal partitioning of multicast receivers, " in Proc. IEEE ICNP'00, Nov. 2000.
No context found.
Y. Yang et al. Optimal partitioning of multicast receivers. Technical Report TR-2000-10, Univ. of Texas at Austin, May 2000.
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Y. Yang, M. Kim, and S. Lam. Optimal partitioning of multicast receivers. In Proceedings of the 8th IEEE International Conference on Network Protocols (ICNP), Osaka, Japan, November 2000.
No context found.
Y. Yang, M. Kim, and S. Lam, "Optimal partitioning of multicast receivers, " in Proc. IEEE ICNP'00, Nov. 2000.
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