RPR网络中的拥塞感知重路由方案

Chingfang Hsu, H. Zeng, Jyun-Yu Ke
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引用次数: 0

摘要

为了提高吞吐量,本文提出了一种基于RPR公平性机制的拥塞感知重路由(CAR)方案。如果在拥塞链路上竞争带宽的所有流量都收敛到稳定速率,我们尝试为通过拥塞链路的某些流量找到一条替代路径,以获得比当前路径更多的带宽。同时,由于竞争带宽的竞争者较少,通过拥塞链路的流量也得到了提高。为了验证重路由的效果,我们在单RPR和桥接RPR网络中进行了仿真。仿真结果表明,CAR在各种场景下都能显著提高吞吐量性能。
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A congestion-aware rerouting scheme in RPR networks
In this paper, a congestion-aware rerouting (CAR) scheme is proposed based on the fairness mechanism of RPR for better throughput. If all flows competing for the bandwidth of the congested link converge to the steady rate, we try to find an alternate path to gain more bandwidth than the current path for some traffic flow passing through the congested link. Meanwhile, the throughput of flows traversing the congested link is improved as well since there are fewer competitors contending for the bandwidth. To verify the effect of rerouting, we perform simulations in single RPR and bridged RPR networks. Simulation results show that CAR can significantly improve throughput performance in various scenarios.
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