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Titlebook: Computational Science - ICCS 2006; 6th International Co Vassil N. Alexandrov,Geert Dick Albada,Jack Dongar Conference proceedings 2006 Spri

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41#
發(fā)表于 2025-3-28 16:40:29 | 只看該作者
42#
發(fā)表于 2025-3-28 20:40:00 | 只看該作者
43#
發(fā)表于 2025-3-29 01:02:05 | 只看該作者
Marco Nuti,Laura Ercoli,Elisa Pellegrino maintained at a router to calculate a feasible graft path to the multicast tree. Simulation results demonstrate that the proposed protocol obtains low routing message overhead, high success routing ratio and optimization usage of network bandwidth.
44#
發(fā)表于 2025-3-29 05:45:34 | 只看該作者
45#
發(fā)表于 2025-3-29 10:57:50 | 只看該作者
Coir for Environmental Remediation,es of lengths of flows in the unsampled stream. We achieve this through statistical inference and by exploiting heavy-tailed feather. We also investigate the impact on our results of different packet sampling rate. The experiment results show the inferred distributions are accurate in most cases.
46#
發(fā)表于 2025-3-29 14:10:28 | 只看該作者
Multicast Routing Protocol with Heterogeneous and Dynamic Receivers maintained at a router to calculate a feasible graft path to the multicast tree. Simulation results demonstrate that the proposed protocol obtains low routing message overhead, high success routing ratio and optimization usage of network bandwidth.
47#
發(fā)表于 2025-3-29 16:35:05 | 只看該作者
48#
發(fā)表于 2025-3-29 20:07:49 | 只看該作者
An Algorithm for Estimation of Flow Length Distributions Using Heavy-Tailed Featurees of lengths of flows in the unsampled stream. We achieve this through statistical inference and by exploiting heavy-tailed feather. We also investigate the impact on our results of different packet sampling rate. The experiment results show the inferred distributions are accurate in most cases.
49#
發(fā)表于 2025-3-29 23:57:34 | 只看該作者
50#
發(fā)表于 2025-3-30 06:02:30 | 只看該作者
Ramesha Chandrappa,Umesh Chandra Kulshresthacomplexity and error probability of this architecture are also discussed at following. The experiment applied this architecture on the CERNET TRACEs, which indicates that the MGCBF algorithm can reduce the resource usage in counting flows and flows information maintenance dramatically with losing little measurement’s accuracy.
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