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An Efficient CPP Solution for Resilience-oriented SDN Controller Deployment t

机译:恢复力的SDN控制器部署T有效的CPP解决方案

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Software-Defined Networking (SDN), as an emerging network paradigm, has attracted considerable attention from both industry and academia. One of the most intriguing study directions is the capability of fast recovery in SDN, where several works have been using multiple controllers to address the failure of a centralized controller. However, the limitation of such approaches is the inefficiency of exclusive controller processing, which provokes resource idling or suffers sudden flow outburst. In this paper, we propose ReON - an efficient optimization method for resilience associated with Network Function Virtualization (NFV) technique, deploying the controller and switch functions into one machine. Thereby, the device is capable of executing the respective functions according to the role it presents. This work formulates the controller resilience issue as the Controller Placement Problem (CPP), decentralizing the resilient ability without destructing the properties of SDN. Meanwhile, we also investigate applying Simulated Annealing (SA) in the proposed scenarios and compare the performance among the proposed method, SA and CPP brute force. Experimental results show the proposed scheme reduces the time complexity while keeping 95% accuracy against with baseline.
机译:软件定义网络(SDN)作为新兴网络范式,引起了行业和学术界的相当大的关注。其中一个最有趣的研究方向是SDN中快速恢复的能力,其中几项工作已经使用多个控制器来解决集中控制器的故障。然而,这种方法的限制是独家控制器处理的低效率,这引起了资源怠速或突然流动突出。在本文中,我们提出了REON - 一种有效的优化方法,用于与网络功能虚拟化(NFV)技术相关的抵御能力,将控制器部署到一台机器中。因此,该设备能够根据其所呈现的角色执行相应的功能。这项工作制定了控制器弹性问题作为控制器放置问题(CPP),将弹性能力分散而不破坏SDN的属性。同时,我们还在提出的场景中调查应用模拟退火(SA),并比较所提出的方法,SA和CPP蛮力之间的性能。实验结果表明,所提出的方案降低了时间复杂性,同时保持95%的准确性与基线。

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