Residual-Balanced Spanning Tree Problem of Topology-Aware ALM

Jianqun Cui, Keming Jia, Libing Wu
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Abstract

Topology-aware application layer multicast takes the real underlying physical network connections into consideration while constructing multicast tree. The aim is to shorten end-to-end data forwarding delay, but it may lead to some end systems with high bandwidth close to the source node need to provide data forwarding service for many sub-nodes, and finally become the bottleneck of the multicast tree. To balance the requirement mentioned above, we propose a more comprehensive problem model MDDLRB (Minimum Delay, Degree-Limited Residual-Balanced) to construct application layer multicast spanning tree. Furthermore, to solve the MDDLRB problem, we present a heuristic algorithm based on delay increment and equilibrium optimization strategy. The simulation results show that the algorithm can get a better system performance.
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拓扑感知ALM的残差平衡生成树问题
拓扑感知应用层组播在构造组播树时考虑了底层物理网络的真实连接。目的是为了缩短端到端的数据转发延迟,但这可能导致一些靠近源节点的高带宽端系统需要为许多子节点提供数据转发服务,最终成为组播树的瓶颈。为了平衡上述需求,我们提出了一个更全面的问题模型MDDLRB (Minimum Delay, Degree-Limited Residual-Balanced)来构建应用层组播生成树。针对MDDLRB问题,提出了一种基于延迟增量和均衡优化策略的启发式算法。仿真结果表明,该算法能获得较好的系统性能。
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