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Dynamic Load Balancing of Multiple Controller based on Intelligent Collaboration in SDN

机译：基于SDN智能协作的多控制器动态负载平衡

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摘要

In order to solve the problem of switch migration conflict caused by system performance difference and frequent communication in SDN multiple controller load balancing process, a multiple domain controller cluster is established by considering the real-time load and communication consumption of the controller. In each domain, the switch in the overload controller is moved to the lighter controller by adopting a request response model combined with an improved SARSA reinforcement learning algorithm for balancing the load of the system. In this way, the load balance among multiple controllers is achieved, and the load capacity of the system is improved. The simulation experiment shows the feasibility of the proposed method.
机译：为了解决由系统性能差异和SDN多控制器负载平衡过程中的系统性能差异和频繁通信引起的开关迁移冲突问题，通过考虑控制器的实时负载和通信消耗来建立多个域控制器集群。在每个域中，通过采用请求响应模型与改进的Sarsa加强学习算法相结合，将过载控制器中的开关移动到较轻的控制器，用于平衡系统的负载。以这种方式，实现了多个控制器之间的负载平衡，提高了系统的负载能力。仿真实验表明了该方法的可行性。

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