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Destination-driven shortest path tree algorithms

机译:目标驱动的最短路径树算法

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Shortest Path Tree (SPT) is the most widely used type of tree for multicast provisioning due to its simplicity and low per-destination cost. An SPT minimizes the accumulated cost, individually, from the source of a group to each destination of the group. However, SPTs have not considered the overall resource utilization in their constructions. This work aims at building cost-effective SPTs by enhancing link sharing between destinations of a group. We achieve this goal by introducing destination-driven characteristic into SPT constructions. Specifically, each destination is connected with the source via a shortest path. When equal cost multiple paths are available, priority is given to the one biasing through a destination among all such routes. We accordingly present the design of an algorithm building destination-driven SPTs. To achieve further improved performance in resource utilization, we also present an algorithm, which is designed to further enhance link sharing among the destinations of a group while meeting a maximum path length constraint for each destination. Simulation results are used to demonstrate the high performance of the proposed algorithms.
机译:最短路径树(SPT)由于其简单性和低的目标成本而成为最广泛使用的多播配置树类型。 SPT可以最大程度地最小化从组的来源到组的每个目的地的累积成本。但是,防范小组委员会尚未考虑其建设中的整体资源利用情况。这项工作旨在通过增强组的目标之间的链接共享来构建具有成本效益的SPT。我们通过将目的地驱动特性引入SPT结构中来实现此目标。具体来说,每个目标都通过最短路径与源连接。当有等价的多条路径可用时,优先考虑在所有此类路径中偏向目的地的一条路径。因此,我们提出了一种构建目标驱动的SPT的算法的设计。为了进一步提高资源利用率,我们还提出了一种算法,该算法旨在进一步增强组目标之间的链路共享,同时满足每个目标的最大路径长度约束。仿真结果用于证明所提出算法的高性能。

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