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Dynamic Traffic Scheduling and Congestion Control across Data Centers Based on SDN

机译：基于SDN的跨数据中心的动态流量调度和拥塞控制

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摘要

Software-defined Networking (SDN) and Data Center Network (DCN) are receiving considerable attention and eliciting widespread interest from both academia and industry. When the traditionally shortest path routing protocol among multiple data centers is used, congestion will frequently occur in the shortest path link, which may severely reduce the quality of network services due to long delay and low throughput. The flexibility and agility of SDN can effectively ameliorate the aforementioned problem. However, the utilization of link resources across data centers is still insufficient, and has not yet been well addressed. In this paper, we focused on this issue and proposed an intelligent approach of real-time processing and dynamic scheduling that could make full use of the network resources. The traffic among the data centers could be classified into different types, and different strategies were proposed for these types of real-time traffic. Considering the prolonged occupation of the bandwidth by malicious flows, we employed the multilevel feedback queue mechanism and proposed an effective congestion control algorithm. Simulation experiments showed that our scheme exhibited the favorable feasibility and demonstrated a better traffic scheduling effect and great improvement in bandwidth utilization across data centers.
机译：软件定义网络（SDN）和数据中心网络（DCN）受到了广泛关注，并引起了学术界和行业的广泛兴趣。使用多个数据中心中传统上最短的路径路由协议时，最短路径链路中经常会出现拥塞，由于长时延和低吞吐量，可能会严重降低网络服务的质量。 SDN的灵活性和敏捷性可以有效地缓解上述问题。但是，跨数据中心的链接资源利用率仍然不足，并且尚未得到很好的解决。在本文中，我们着眼于此问题，并提出了一种可以充分利用网络资源的实时处理和动态调度的智能方法。数据中心之间的流量可以分为不同的类型，并且针对这些类型的实时流量提出了不同的策略。考虑到恶意流长时间占用带宽，我们采用了多级反馈队列机制，提出了一种有效的拥塞控制算法。仿真实验表明，该方案具有良好的可行性，并具有较好的流量调度效果，并且极大地提高了跨数据中心的带宽利用率。

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