DiRP: Distributed Intelligent Rendezvous Point for Multicast Control Plane

Ammar Latif, Roshini Paul, Rishi Chhibber, Anand Singh, Rahul Parameswaran, Abdallah Khreishah, Y. Jararweh
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Abstract

Multicast is widely deployed in data centers for point-to-multi-point communications. It has an established set of control protocols such as IGMP and PIM that has limitations around the lack of bandwidth awareness when establishing the multicast trees. This could lead to over-subscription of network links and packet loss impacting user quality of experience. Other existing multicast issues are related to path setup time as delay translates to deterioration of user experience. In this paper, we present and implement the DiRP algorithm utilizing distributed decision making architecture to optimize multicast tree formation while maintaining low path setup time. The system is implemented using off-the-shelve commercially available switches. the proposed DiRP algorithm maintains the creation and removal of source trees based on bandwidth requirements. We test the algorithm using Cisco’s Nexus commercially available switches. Testing results confirm that the DiRP Algorithm is able to setup multicast tree paths based on available bandwidth while maintaining distributed decision making in the fabric to lower path setup time. The system offers substantially lower path setup time compared to centralized systems while maintaining bandwidth awareness when setting up the fabric.
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DiRP:多播控制平面分布式智能集合点
多播广泛应用于数据中心的点对多点通信。它已经建立了一套控制协议,如IGMP和PIM,但在建立组播树时缺乏带宽感知。这可能导致网络链接的过度订阅和数据包丢失,从而影响用户体验的质量。其他存在的多播问题与路径设置时间有关,因为延迟会导致用户体验的恶化。在本文中,我们提出并实现了DiRP算法,利用分布式决策架构来优化组播树的形成,同时保持较低的路径建立时间。该系统使用现成的商用交换机实现。提出的DiRP算法维护了基于带宽需求的源树的创建和删除。我们使用思科的Nexus市售交换机测试该算法。测试结果证实,DiRP算法能够基于可用带宽设置多播树路径,同时在结构中保持分布式决策以降低路径设置时间。与集中式系统相比,该系统提供了更低的路径设置时间,同时在设置fabric时保持带宽感知。
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