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Distributed controller clustering in software defined networks

机译:软件定义网络中的分布式控制器集群

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摘要

Software Defined Networking (SDN) is an emerging promising paradigm for network management because of its centralized network intelligence. However, the centralized control architecture of the software-defined networks (SDNs) brings novel challenges of reliability, scalability, fault tolerance and interoperability. In this paper, we proposed a novel clustered distributed controller architecture in the real setting of SDNs. The distributed cluster implementation comprises of multiple popular SDN controllers. The proposed mechanism is evaluated using a real world network topology running on top of an emulated SDN environment. The result shows that the proposed distributed controller clustering mechanism is able to significantly reduce the average latency from 8.1% to 1.6%, the packet loss from 5.22% to 4.15%, compared to distributed controller without clustering running on HP Virtual Application Network (VAN) SDN and Open Network Operating System (ONOS) controllers respectively. Moreover, proposed method also shows reasonable CPU utilization results. Furthermore, the proposed mechanism makes possible to handle unexpected load fluctuations while maintaining a continuous network operation, even when there is a controller failure. The paper is a potential contribution stepping towards addressing the issues of reliability, scalability, fault tolerance, and inter-operability.
机译:由于软件定义网络(SDN)具有集中式网络智能,因此是一种新兴的有前途的网络管理范例。但是,软件定义网络(SDN)的集中控制体系结构带来了可靠性,可伸缩性,容错性和互操作性方面的新挑战。在本文中,我们在SDN的实际环境中提出了一种新颖的集群分布式控制器架构。分布式群集实现由多个流行的SDN控制器组成。使用在仿真SDN环境之上运行的实际网络拓扑对提出的机制进行了评估。结果表明,与未在HP Virtual Application Network(VAN)上运行群集的分布式控制器相比,所提出的分布式控制器群集机制能够将平均延迟从8.1%降低到1.6%,数据包丢失从5.22%降低到4.15%。 SDN和开放网络操作系统(ONOS)控制器。此外,所提出的方法还显示出合理的CPU利用率结果。此外,即使在控制器出现故障时,所提出的机制也可以在维持连续的网络运行的同时处理意外的负载波动。本文是迈向解决可靠性,可伸缩性,容错性和互操作性问题的潜在贡献。

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