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Two Algorithms for Fast Mitigating Multi-Congestion in Software Defined Networks

机译:软件定义网络中用于快速缓解多拥塞的两种算法

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Although software defined networks (SDN) can achieve flexible network management, it lacks an efficient congestion control mechanism. Most existing researches focused on single link congestion scenario and has been inferior in the congestion mitigation time because of numerous flow operations between controllers and switches. Thus, in this paper, we address the problem of fast mitigating congestion (FMCP) in multiple link congestion (Multi-Congestion) scenario over SDN. We first formulate FMCP as a 0-1 nonlinear programming model, which aims to minimize the congestion mitigation cost and avoid congestion propagation. Then we propose two algorithms: one is an optimal algorithm based on Lagrange relaxation, called FMC-LR, which aims to transform the original optimization problem to several shortest path sub-problems corresponding to a new link weight; the other is a heuristic algorithm, called FMC-HE, which aims to reroute the congested flows traversing the maximum number of congested links to an alternative path with the minimum congestion mitigation cost until the congestion is mitigated. Extensive emulation results show that FMC-HE mitigates congestion faster than FMC-LR in small-scale networks, whereas FMC-LR outperforms FMC-HE in terms of success ratio and both algorithms can avoid congestion propagation
机译:尽管软件定义网络(SDN)可以实现灵活的网络管理,但它缺乏有效的拥塞控制机制。现有的大多数研究都集中在单链路拥塞场景上,并且由于控制器和交换机之间的大量流操作,其拥塞缓解时间较差。因此,在本文中,我们解决了SDN上的多链路拥塞(Multi-Congestion)场景中的快速缓解拥塞(FMCP)问题。我们首先将FMCP公式化为0-1非线性规划模型,旨在最小化拥塞缓解成本并避免拥塞传播。然后,我们提出两种算法:一种是基于拉格朗日松弛的最优算法,称为FMC-LR,其目的是将原始优化问题转换为对应于新链路权重的几个最短路径子问题。另一种是称为FMC-HE的启发式算法,其目的是以最小的拥塞缓解成本将穿越最大拥塞链路数量的拥塞流重新路由到替代路径,直到拥塞得到缓解。大量仿真结果表明,在小型网络中,FMC-HE比FMC-LR更快地缓解了拥塞,而FMC-LR在成功率方面胜过FMC-HE,并且两种算法都可以避免拥塞传播

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