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Joint Switch Upgrade and Controller Deployment in Hybrid Software-Defined Networks

机译:混合软件定义网络中的联合交换机升级和控制器部署

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摘要

To improve traffic management ability, Internet Service Providers (ISPs) are gradually upgrading legacy network devices to programmable devices that support Software-Defined Networking (SDN). The coexistence of legacy and SUN devices gives rise to a hybrid SDN. Existing hybrid SDNs do not consider the potential performance issues introduced by a centralized SDN controller: flow requests processed by a highly loaded controller may experience long-tail processing delay; inappropriate multi-controller deployment could increase the propagation delay of flow requests. In this paper, we propose to jointly consider the deployment of SDN switches and their controllers for hybrid SUNs. We formulate the joint problem as an optimization problem that maximizes the number of flows that can be controlled and managed by the SDN and minimizes the propagation delay of flow requests between SDN controllers and switches under a given upgrade budget constraint. We show this problem is NP-hard. To efficiently solve the problem, we propose some techniques (e.g., strengthening the constraints and adding additional valid inequalities) to accelerate the global optimization solver for solving the problem for small networks and an efficient heuristic algorithm for solving it for large networks. The simulation results from real network topologies illustrate the effectiveness of the proposed techniques and show that our proposed heuristic algorithm uses a small number of controllers to manage a high amount of flows with good performance.
机译:为了提高交通管理能力,互联网服务提供商(ISP)正在逐步将传统网络设备升级到支持软件定义网络(SDN)的可编程设备。遗留和太阳设备的共存产生了混合动力SDN。现有的混合SDN不考虑集中式SDN控制器引入的潜在性能问题:由高负载控制器处理的流量请求可能会经历长尾处理延迟;不适当的多控制器部署可能会增加流量请求的传播延迟。在本文中,我们建议共同考虑部署SDN交换机及其控制器的混合阳光。我们将联合问题作为优化问题,最大化可以由SDN控制和管理的流量,并在给定的升级预算约束下最小化SDN控制器和交换机之间的流量请求的传播延迟。我们展示了这个问题是np-hard。为了有效解决问题,我们提出了一些技术(例如,加强约束并增加额外有效的不等式),以加速全局优化解决者,以解决小型网络的问题和用于为大型网络解决它的高效启发式算法。实际网络拓扑的仿真结果说明了所提出的技术的有效性,并表明我们所提出的启发式算法使用少量控制器来管理具有良好性能的高量流量。

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