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An efficient approach to robust controller placement for link failures in Software-Defined Networks

机译:一种有效的软件定义网络中链接故障的鲁棒控制器放置的方法

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摘要

In Software-Defined Networks (SDN), one of the critical research challenges for large-scale deployment of SDN is controller placement problem (CPP). However, link failures are critical security issues in networks and greatly impact SDN's robustness. The CPP for link failures is still challenging today. To this end, we study the CPP for multi-link failures (CPP-MLF). Firstly, we investigate the real link data of today's networks to analyze the characteristics of link failures and formalize the link failure rate. Next, we formulate minimizing the number of controllers and worst-case delay as the optimization objectives of CPP-MLF and develop a heuristic algorithm based on improved NSGA-Ⅱ to solve CPP-MLF efficiently. Specifically, we improve the non-dominated set and crowding distance for the NSGA-Ⅱ by dynamic competition mechanism and even distribution operator, respectively, thereby quickly obtaining the Pareto-optimal solutions of CPP-MLF. Afterwards, we introduce controller load variance to evaluate them to make a satisfactory decision on controller placement. We conduct simulations with real network topologies, and the results show that the proposed heuristic algorithm performs well on the number of controllers, worst-case delay and robustness, while producing acceptable runtime overheads.
机译:在软件定义的网络(SDN)中,SDN大规模部署的关键研究挑战之一是控制器放置问题(CPP)。但是,链接失败是网络中的关键安全问题,大大影响SDN的稳健性。链接故障的CPP今天仍然具有挑战性。为此,我们研究了多链路故障(CPP-MLF)的CPP。首先,我们调查当今网络的真实链接数据,以分析链路故障的特征,并将链路故障率正式化。接下来,我们制定最小化控制器数量和最坏情况延迟作为CPP-MLF的优化目标,并基于改进的NSGA-Ⅱ进行高效地解决CPP-MLF的启发式算法。具体而言,通过动态竞争机制及均匀的分布算子来改善NSGA-Ⅱ的非主导集合和拥挤距离,从而快速获得CPP-MLF的Pareto最佳溶液。之后,我们介绍了控制器负载方差,以评估它们对控制器放置的令人满意的决定。我们使用真正的网络拓扑进行仿真,结果表明,所提出的启发式算法在控制器的数量,最坏情况下延迟和鲁棒性时,在产生可接受的运行时开销的同时表现良好。

著录项

  • 来源
    《Future generation computer systems》 |2021年第11期|187-205|共19页
  • 作者单位

    Information Engineering University;

    Information Engineering University;

    National Digital Switching System Engineering and Technological Research Center China;

    Information Engineering University;

    National Digital Switching System Engineering and Technological Research Center China;

    National Digital Switching System Engineering and Technological Research Center China;

    Information Engineering University;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Software-Defined Networks; Controller placement; Link failures; Heuristic;

    机译:软件定义的网络;控制器放置;链接失败;启发式;

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