ALMI: An Application Level Multicast Infrastructure

D. Pendarakis, S. Shi, D. Verma, M. Waldvogel
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引用次数: 763

Abstract

The IP multicast model allows scalable and efficient multi-party communication, particularly for groups of large size. However, deployment of IP multicast requires substantial infrastructure modifications and is hampered by a host of unresolved open problems. To circumvent this situation, we have designed and implemented ALMI, and application level group communication middleware, which allows accelerated application deployment and simplified network configuration, without the need of network infrastructure support. ALMI is tailored toward support of multicast groups of relatively small size (several 10s of members) with many to many semantics. Session participants are connected via a virtual multicast tree, which consists of unicast connections between end hosts and is formed as a minimum spanning tree (MST) using application-specific performance metric. Using simulation, we show that the performance penalties, introducted by this shift of multicast to end systems, is a relatively small increase in traffic load and that ALMI multicast trees approach the efficiency of IP multicast trees. We have also implemented ALMI as a Java based middleware package and performed experiments over the Internet. Experimental results show that ALMI is able to cope with network dynamics and keep the multicast tree efficient.
ALMI:应用层多播基础设施
IP多播模型允许可扩展和高效的多方通信,特别是对于大型组。然而,IP多播的部署需要对基础设施进行大量修改,并且受到许多未解决的开放问题的阻碍。为了避免这种情况,我们设计并实现了ALMI和应用程序级组通信中间件,它们允许加速应用程序部署和简化网络配置,而不需要网络基础设施支持。ALMI是为支持具有多对多语义的规模相对较小(几十个成员)的多播组而量身定制的。会话参与者通过虚拟组播树连接,该树由终端主机之间的单播连接组成,并使用特定于应用程序的性能指标形成最小生成树(MST)。通过仿真,我们表明,这种将组播转移到端系统所带来的性能损失是流量负载的相对较小的增加,并且ALMI组播树的效率接近IP组播树。我们还将ALMI实现为基于Java的中间件包,并在Internet上进行了实验。实验结果表明,ALMI能够有效地应对网络动态,保证组播树的有效性。
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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