可扩展组播及其在数据中心网络中的应用

文章认为组播协议的可扩展性一直是阻碍组播技术广泛部署的重要因素之一,为此文章探讨了互联网环境下几种可扩展组播的解决方案:基于组成员稀疏分布的可扩展组播方案、基于布鲁姆过滤器的可扩展组播方案、基于聚合组播树的可扩展组播方案;数据中心网络中可扩展组播面临的新挑战主要来自于硬件限制导致无法同时容纳大量的组播组,同时基于组成员稀疏分布的可扩展组播方案和聚合组播树的方案在数据中心网中应用受限,为此文章探讨了数据中心网络环境下混合使用组播和单播的可扩展组播方案、基于布鲁姆过滤器的可扩展组播方案。摘要:

Scalable Multicasting in Data-Center Networks

Scalability of the multicast protocol is important when deploying multicast technology. This paper describes some scalable multicast solutions, including group-member-based sparse distribution, Bloom Filter, and tree-based aggregated multicasting. There are two particular issues in scalable multicasting in data center networks： the limited capacity of multicast group, and the limited applications for group-member-based sparse distribution and Bloom Filter. In this paper, we discuss unicast-multicast-mixed scalable multicasting and Bloom Filter-based scalable multicasting in the data center in more depth.