基于sdn的胖树网络的拥塞控制机制

Haitham Ghalwash, Chun-Hsi Huang
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引用次数: 1

摘要

如今,数据中心正经历着日益增长的应用程序需求,这要求采用面向软件的网络体系结构。软件定义网络(SDN)是一种克服传统网络局限性的新技术。对于成功的面向软件的网络体系结构来说,QoS是一个当前的限制。影响QoS的关键因素有很多,包括流量整形和拥塞控制。本文提出了一种基于sdn网络的拥塞控制机制,以提高整体QoS。该机制监测和检测拥堵路段,并自动做出反应,以减少交通负荷。通过重新路由子集流,重新分配流量负载以确保更好的性能。重路由决策基于被动测量的QoS度量,即端口利用率。实验证明了该机制在基于sdn的脂肪树网络中的有效性。结果表明,TCP记录了显著的改进,即平均延迟22.4%,吞吐量21.3%,最大延迟18.6%,抖动15.3%。此外,在汇聚交换机和核心交换机中监控的最大端口利用率平均也降低了22%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A congestion control mechanism for SDN-based fat-tree networks
Nowadays, data centers are experiencing increasing applications' need that is mandating a software-oriented network architecture. A Software-Defined Network (SDN) is the new technology to overcome the traditional network's limitations. QoS is one current limitation that needs to be well-structured for successful software-oriented network architecture. Considerable key factors affect QoS, comprising traffic shaping and congestion control. This paper proposes a congestion control mechanism in SDN-based networks to enhance the overall QoS. The proposed mechanism monitors and detects congested parts and reacts automatically to reduce traffic load. The traffic load is redistributed to ensure better performance by re-routing subset flows. The re-routing decision is based on a passively measured QoS metric, port utilization. Experiments are conducted to prove the effectiveness of the proposed mechanism in an SDN-based fat-tree network. Results showed that the TCP recorded a noticeable improvement, namely, 22.4% in the average delay, 21.3% in throughput, 18.6% in max delay, and 15.3% for jitter. Moreover, the maximum monitored port utilization in the aggregation and core switches was also reduced by 22% on average.
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