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Models for IP/MPLS Routing Performance: Convergence, Fast Reroute, and QoS Impact

机译:IP / MPLS路由性能模型:融合,快速重路由和QoS影响

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We show how to model the black-holing and looping of traffic during an Interior Gateway Protocol (IGP) convergence event at an IP network and how to significantly improve both the convergence time and packet loss duration through IGP parameter tuning and algorithmic improvement. We also explore some congestion avoidance and congestion control algorithms that can significantly improve stability of networks in the face of occasional massive control message storms. Specifically we show the positive impacts of prioritizing Hello and Acknowledgement packets and slowing down LSA generation and retransmission generation on detecting congestion in the network. For some types of video, voice signaling and circuit emulation applications it is necessary to reduce traffic loss durations following a convergence event to below 100 ms and we explore that using Fast Reroute algorithms based on Multiprotocol Label Switching Traffic Engineering (MPLS-TE) that effectively bypasses IGP convergence. We explore the scalability of primary and backup MPLS-TE tunnels where MPLS-TE domain is in the backbone-only or edge-to-edge. We also show how much extra backbone resource is needed to support Fast Reroute and how can that be reduced by taking advantage of Constrained Shortest Path (CSPF) routing of MPLS-TE and by reserving less than 100% of primary tunnel bandwidth during Fast Reroute.
机译:我们将展示如何在IP网络的内部网关协议(IGP)收敛事件期间对流量的黑洞和环路进行建模,以及如何通过IGP参数调整和算法改进来显着改善收敛时间和丢包时间。我们还研究了一些避免拥塞和拥塞控制算法,这些算法可以在偶尔出现大量控制消息风暴的情况下显着提高网络的稳定性。具体来说,我们显示了优先处理Hello和Acknowledgment数据包并减慢LSA生成和重传生成对检测网络拥塞的积极影响。对于某些类型的视频,语音信号和电路仿真应用,有必要将收敛事件后的流量丢失持续时间减少到100毫秒以下,并且我们探索使用基于多协议标签交换流量工程(MPLS-TE)的快速重路由算法来有效地绕过IGP收敛。我们探索了主要和备用MPLS-TE隧道的可伸缩性,其中MPLS-TE域位于仅主干或边缘到边缘。我们还显示了支持快速重路由需要多少额外的骨干资源,以及如何通过利用MPLS-TE的约束最短路径(CSPF)路由以及在快速重路由期间保留不到100%的主隧道带宽来减少这些资源。

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