A heuristic overlay multicast routing algorithm for minimum delay optimization

Longxin Lin
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Abstract

Multicast services can be provided either as a basic network service by IP multicast or as an application layer service called overlay multicast. How to build an efficient data delivery structure is the most critical problem for overlay multicast, which depends on a good routing algorithm. Many routing algorithms have been presented recent years. Some algorithms modeled overlay multicast's routing problem as a degree constrained spanning tree problem based on undirected completed graph, and some others were built on some special peer to peer routing protocols. However, detecting and obtaining a completed graph's all network state information needs consume expensive cost and restricts its scalability and sometime be impossible. On the contrary these routing algorithms built on p2p scheme are of good scalability but maybe fail in practical applications. This paper redefines the overlay multicast routing problem as to find a degree constrained sub-tree with minimum delay optimization for a general undirected connected graph not a completed graph. It is a NP-hard problem. A heuristic genetic algorithm for this problem is given and the simulation results verify its effectiveness.
一种最小时延优化的启发式叠加组播路由算法
组播服务既可以作为IP组播的基本网络服务提供,也可以作为称为覆盖组播的应用层服务提供。如何建立一个高效的数据传输结构是覆盖组播的关键问题,这取决于一个好的路由算法。近年来出现了许多路由算法。一些算法将覆盖组播的路由问题建模为基于无向完备图的程度约束生成树问题,另一些算法则建立在一些特殊的对等路由协议上。然而,检测和获取完整图的所有网络状态信息需要消耗昂贵的成本,并且限制了其可扩展性,有时是不可能的。相反,这些基于p2p方案的路由算法具有良好的可扩展性,但在实际应用中可能会失败。本文将覆盖组播路由问题重新定义为寻找非完全图的一般无向连通图的最小时延优化度约束子树问题。这是一个np困难问题。针对该问题给出了一种启发式遗传算法,仿真结果验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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