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时延和可靠性感知的多控制器均衡部署策略
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TP393

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国家自然科学基金(61871396)


A Delay and Reliability Aware MultiController Balancing Deployment Strategy
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    摘要:

    当前的软件定义网络多控制器部署问题研究,大多针对控制网络时延、可靠性和负载均衡等指标中的部分进行优化,对上述因素的整体考虑较少。针对该问题,首先分析了控制器部署对网络时延、可靠性和负载均衡的影响;其次,提出了以全网平均时延、控制路径可靠性和负载均衡度为参数,以网络综合性能为目标的控制器部署优化评价模型;最后,基于模拟退火遗传算法提出一种时延和可靠性感知的控制器均衡部署方法,在考虑网络综合性能的同时,增强了解空间的全局搜索能力,得出了控制器部署的全局非劣最优解集。仿真结果表明,提出的部署策略在保证负载均衡的前提下,提高了控制网络的可靠性,降低了网络时延,进而提高了网络整体性能。

    Abstract:

    Aimed at the problems that at present most of the current researches on multicontroller deployment in softwaredefined networks mainly focus on the optimization of the control network delay, reliability and load balancing, but less on the overall consideration of the above factors, this paper firstly analyzes the impact of controller deployment on network delay, reliability and load balancing. Secondly, the paper proposes an optimal evaluation model of controller deployment, which takes the average delay, control path reliability and load balance of the whole network as parameters while the comprehensive performance of the network as the objective. Finally, based on the simulated annealing genetic algorithm, the paper proposes a delay and reliability aware controller deployment method in consideration of the overall performance of the network, enhancement of the global search ability of the solution space, obtaining the non inferior optimal solution set of controller deployment from global. The simulation results show that on the premise of ensuring load balancing, the proposed deployment strategy improves the reliability of the control network, reduces the network delay and improves the overall performance of the network.

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赵文文,孟相如,康巧燕,苏玉泽.时延和可靠性感知的多控制器均衡部署策略[J].空军工程大学学报,2021,22(4):85-91

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  • 在线发布日期: 2021-09-13
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