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

机译:应用层组播中一种更有效的拓扑感知覆盖机制

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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:应用层多播(ALM)可以轻松解决大多数基于IP的多播问题,例如转发状态可伸缩性,对路由器的完全依赖性等。 ALM的拓扑感知方法更具吸引力,因为它利用基础网络拓扑数据来构建多播覆盖网络。在本文中,介绍了一种更有效的覆盖构建机制,称为子网拓扑感知分组(STAG)。在这种机制下,想要加入多播树的新节点将首先或在向源成员发送JOIN消息的同时在子网中广播JOIN消息。如果同一子网中有一些组播成员,则可以节省发现拓扑信息和执行路径匹配算法的时间。仿真结果表明,当组大小较大或子网节点所占的百分比较高时,STAG的新节点可以以相似或较少的开销更快地获取多播服务。

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