Multicast scheduling in feedback-based two-stage switch

Bing Hu, K. Yeung
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引用次数: 3

Abstract

Scalability is of paramount importance in high-speed switch design. Two limiting factors are the complexity of switch fabric and the need for a sophisticated central scheduler. In this paper, we focus on designing a scalable multicast switch. Given the fact that the majority traffic on the Internet is unicast, a costeffective solution is to adopt a unicast switch fabric for handling both unicast and multicast traffic. Unlike existing approaches, we choose to base our multicast switch design on the load-balanced two-stage switch architecture because it does not require a central scheduler, and its unicast switch fabric only needs to realize N switch configurations. Specifically, we adopt the feedback-based two-stage switch architecture [10], because it elegantly solves the notorious packet mis-sequencing problem, and yet renders an excellent throughput-delay performance. By slightly modifying the operation of the original feedback-based two-stage switch, a simple distributed multicast scheduling algorithm is proposed. Simulation results show that with packet duplication at both input ports and middle-stage ports, the proposed multicast scheduling algorithm significantly cuts down the average packet delay and delay variation among different copies of the same multicast packet.
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基于反馈的两级交换机组播调度
在高速交换机设计中,可扩展性是至关重要的。两个限制因素是交换结构的复杂性和需要一个复杂的中央调度程序。在本文中,我们重点设计了一个可扩展的组播交换机。考虑到Internet上的大多数流量是单播的这一事实,一个有效的解决方案是采用单播交换机结构来处理单播和多播流量。与现有的方法不同,我们选择基于负载均衡的两阶段交换机架构的多播交换机设计,因为它不需要中央调度程序,而且它的单播交换机结构只需要实现N个交换机配置。具体来说,我们采用了基于反馈的两级交换机架构[10],因为它优雅地解决了臭名昭著的数据包错排序问题,同时又提供了出色的吞吐量延迟性能。通过对原有的基于反馈的两级交换的操作进行轻微修改,提出了一种简单的分布式组播调度算法。仿真结果表明,在输入端口和中期端口都存在数据包重复的情况下,所提出的组播调度算法显著降低了平均数据包延迟和同一组播数据包不同副本之间的延迟变化。
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