Queuing-aware Routing Algorithm in Software Defined Networks

P. Chumcharoen, Kiattikun Kawila, K. N. Nakorn, K. Rojviboonchai
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Abstract

Routing Algorithm is an important mechanism which decides data transferring path in a network. Several existed routing algorithms are derived from a fundamental of graph theory with shortest path approach. A lot of additional network metrics were applied to serve the best quality of service (QoS) to end devices. However, a selected path from the existed algorithms can suffer from additional end-to-end latency for long time periods when the number of traffic flows increases. This situation is called the bufferbloat problem which is caused by excessively large queue in buffer. In this paper, we proposed a novel queuing-aware routing algorithm in software defined networks. The proposed algorithm leverages a capability of centralized system to gather directly the buffering information in real-time to calculate the shortest path with acceptable buffering occupancy level. The simulation result shows that the proposed algorithm outperforms the traditional shortest path approach in term of overall throughput significantly.
软件定义网络中的排队感知路由算法
路由算法是决定网络中数据传输路径的重要机制。现有的几种路由算法都是基于最短路径方法的图论基础。为了向终端设备提供最佳服务质量(QoS),应用了许多附加的网络度量。但是,当流量增加时,从现有算法中选择的路径可能会在很长一段时间内遭受额外的端到端延迟。这种情况被称为缓冲区膨胀问题,它是由缓冲区中的队列过大引起的。本文提出了一种新的软件定义网络中的排队感知路由算法。该算法利用集中式系统实时直接收集缓冲信息的能力,计算出具有可接受缓冲占用水平的最短路径。仿真结果表明,该算法在总体吞吐量方面明显优于传统的最短路径方法。
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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