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Minimizing Cost and Delay in Shared Multicast Trees

机译:最小化共享组播树中的成本和延迟

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Existing tree construction mechanisms are classified into source-based trees and center-based trees. The source-based trees produce a source-rooted tree with a low delay. However, for the applications with multiple senders, the management overheads for routing tables and resource reservations are too high. The center-based trees are easy to implement and manage, but a priori configuration of candidate center nodes is required, and the optimization nature such as tree cost and delay is not considered. In this paper, we propose a new multicast tree building algorithm. The proposed algorithm basically builds a non-center based shared tree. In particular, any center node is not pre-configured. In the proposed algorithm, a multicast node among current tree nodes is suitably assigned to each incoming user. Such a node is selected in a fashion that tree cost and the maximum end-to-end delay on the tree are jointly minimized. The existing and proposed algorithms are compared by experiments. In the simulation results, it is shown that the proposed algorithm approximately provides the cost saving of 30 % and the delay saving of 10%, compared to the existing approaches. In conclusion, we see that the cost and delay aspects for multicast trees can be improved at the cost of additional computations.
机译:现有的树构建机制分为基于源的树和基于中心的树。基于源的树生成具有低延迟的基于源的树。但是,对于具有多个发件人的应用程序,路由表和资源预留的管理开销过高。基于中心的树易于实现和管理,但是需要候选中心节点的先验配置,并且不考虑诸如树成本和延迟之类的优化性质。在本文中,我们提出了一种新的组播树构建算法。所提出的算法基本上建立了一个基于非中心的共享树。特别是,没有预先配置任何中心节点。在提出的算法中,将当前树节点中的多播节点适当地分配给每个传入用户。以使树的成本和树上最大的端到端延迟共同最小化的方式选择这种节点。通过实验比较了现有算法和拟议算法。仿真结果表明,与现有方法相比,该算法可节省大约30%的成本,节省10%的延迟。总而言之,我们看到可以以额外的计算为代价来改善多播树的成本和延迟方面。

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