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More Efficient Mechanism of Topology-Aware Overlay Construction in Application-Layer Multicast

机译:更有效的拓扑感知覆盖结构在应用层组播中的机制

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Application-layer multicast (ALM) can easily address most of the problems of IP-based multicast such as forwarding state scalability, full router dependence and so on. The topology-aware approach of ALM is more attractive because it exploits underlying network topology data to construct multicast overlay networks. In this paper, a more efficient mechanism of overlay construction called Subnet Topology-Aware Grouping (STAG) is introduced. Under this mechanism, new node who wants to join the multicast tree will broadcast a JOIN message in the subnet firstly or at the same time when it sends a JOIN message to source member. It can save the time used to discover topology information and execute the path matching algorithm if there are some multicast members in the same subnet. Simulation results show that new nodes of STAG can acquire multicast service more quickly with similar or less overhead when the group size is large or the percentage of subnet nodes is high.
机译:应用层组播(ALM)可以很容易地解决基于IP的多播的大多数问题,例如转发状态可伸缩性,完整路由器依赖性等。 ALM的拓扑感知方法更具吸引力,因为它利用底层网络拓扑数据来构建组播覆盖网络。在本文中,介绍了一种称为子网拓扑 - 感知分组(Stag)的更有效的覆盖结构机制。在此机制下,想要加入组播树的新节点将首先或同时在向源成员发送加入消息时在子网中广播加入消息。它可以节省用于发现拓扑信息的时间,并且如果在同一子网中存在一些组播成员,则执行路径匹配算法。仿真结果表明,当组大小大或者子网节点的百分比高时,雄鹿的新节点可以更快地获取多播服务,在类似或更少的开销中。

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