改进sdn的链路故障恢复和拥塞控制

G. Saldamli, Himanshu Mishra, Nikhil Ravi, Rahul Rao Kodati, Sahithi A. Kuntamukkala, L. Tawalbeh
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引用次数: 5

摘要

软件定义网络被认为是网络领域中一个杰出的体系结构。控制平面与数据平面的分离为实现和管理现实网络提供了一种有效的方法。近年来,由于物联网和云技术的进步,网络流量大幅增加。sdn背后的主要驱动力主要是由于现有的传统网络在未来没有能力管理如此大量的流量。与SDN网络实现相关的主要问题之一是链路故障和拥塞情况下的恢复时间。这被认为是纯SDN网络可扩展性的主要瓶颈。现有使用的方法要求SDN设备在此类事件期间联系集中控制器进行操作。然而,在由许多设备组成的现实网络中,这种解决方案极大地增加了延迟,从而降低了网络的效率。在这里,我们提出了一种方法来提高链路故障和拥塞事件的恢复时间。该方法由控制模块组成,这些控制模块在此类事件发生之前主动安装规则。这将为这些设备提供在数据平面上处理此类问题的能力,而无需控制器的干预。这些规则随后使用不同的算法和RESTful方法定期推送到SDN设备。提出的解决方案通过减少网络的总体延迟,极大地提高了这些网络的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving link failure recovery and congestion control in SDNs
Software-Defined Networking is considered as a prominent architecture in the field of networking. The separation of control plane with data plane provides an efficient way to implement and manage real-world networks. In recent years, there has been a major boost in network traffic due to the advancement in IoT and cloud technologies. The main drive behind the SDNs is primarily due to the fact that existing legacy networks do not have the capacity to manage such large volumes of traffic in coming future. One of the major concern related to the implementation of SDN networks is the recovery time in case of link failure and congestion. This is known to be the main bottleneck for the scalability of pure SDN networks. The existing method in use requires the SDN devices to contact the centralized controller to act during such events. However, in real-world networks consisting of many devices, such a solution increases the latency immensely thus reducing the efficiency of the network. In here, we propose a method to improve the recovery time for link failure and congestion events. The method consists of controller modules that proactively install rules before the occurrence of such events. This will provide the ability to these devices to handle such issues at the data plane without the intervention of controller. The rules are later pushed to SDN devices at regular intervals using different algorithms and RESTful methods. The proposed solution largely improves the efficiency of these networks by reducing their overall latency.
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