On the performance of STAR: an efficient delay-bound, low-cost multicast algorithm

Shu Li, R. Melhem, T. Znati
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Abstract

Multicast networking is poised to play a prominent role in the future deployment of multimedia applications. Multimedia applications are usually resource intensive, have stringent quality of service requirements, and in many cases involve large multicast groups. Multicasting enables these applications to scale to a large number of users without overloading the network and server resources. This paper focuses on the design and analysis of a new heuristic for building low-cost, delay-bounded multicast trees to support multimedia applications. The approach used by the proposed heuristic to "optimize" the multicast tree limits its paths computation to paths which originate from the multicast destinations instead of all pairs of paths, as is the case in other well-known algorithms. Moreover, the path finding procedure, based on Dijkstra's algorithm, results in the selection of better paths than those discovered the k-shortest path based procedures. The simulation results show that the proposed heuristic outperforms on average other known heuristics.
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STAR:一种高效的延迟约束、低成本的组播算法
多播网络将在未来多媒体应用的部署中发挥重要作用。多媒体应用程序通常是资源密集型的,具有严格的服务质量要求,并且在许多情况下涉及大型多播组。多播使这些应用程序能够扩展到大量用户,而不会使网络和服务器资源过载。本文重点设计和分析了一种新的启发式算法,用于构建低成本、有延迟限制的多播树,以支持多媒体应用。所提出的启发式算法用于“优化”组播树的方法将其路径计算限制在来自组播目的地的路径上,而不是像其他知名算法那样对所有路径进行计算。此外,基于Dijkstra算法的寻径过程比基于k最短路径的寻径过程选择出更好的路径。仿真结果表明,所提启发式算法的平均性能优于其他已知的启发式算法。
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